Cloud Data Loss Prevention (Cloud DLP) ahora es parte de Sensitive Data Protection. El nombre de la API sigue siendo el mismo: API de Cloud Data Loss Prevention (API de DLP). Para obtener información sobre los servicios que conforman la protección de datos sensibles, consulta la descripción general de la protección de datos sensibles.

Se usó la API de Cloud Translation para traducir esta página.

Referencia de transformación

En este tema, se describen las técnicas, o transformaciones, de desidentificación disponibles en Sensitive Data Protection.

Tipos de técnicas de desidentificación

La elección de la transformación de desidentificación que desees usar depende del tipo de datos que deseas desidentificar y con qué propósito lo haces. Las técnicas de desidentificación que admite Sensitive Data Protection se dividen en las siguientes categorías generales:

Ocultamiento: Borra de forma parcial o completa un valor sensible detectado.
Reemplazo: Reemplaza un valor sensible detectado por un valor subrogado especificado.
Enmascaramiento: Reemplaza una cantidad de caracteres de un valor sensible por un carácter subrogado especificado, como un hash (#) o un asterisco (*).
Asignación de tokens basada en criptografía: Encripta el valor original de los datos sensibles mediante el uso de una clave criptográfica. Sensitive Data Protection admite varios tipos de asignación de tokens, incluidas las transformaciones que se pueden revertir o “reidentificar”.
Agrupamiento: “Generaliza” un valor sensible mediante su reemplazo por un rango de valores. Por ejemplo, reemplaza una edad específica por un rango de edades o reemplaza temperaturas por rangos que correspondan a “Caliente”, “Medio” y “Frío”.
Cambio de fechas: Cambia los valores sensibles de fecha por una cantidad de tiempo aleatoria.
Extracción de tiempo: Extrae o conserva partes específicas de valores de fecha y hora.

En el resto de este tema, se describe cada tipo diferente de transformación de desidentificación y se proporcionan ejemplos de su uso.

Métodos de transformación

En la siguiente tabla, se enumeran las transformaciones que proporciona Sensitive Data Protection para desidentificar datos sensibles:

Transformación	Objeto	Descripción	Se puede revertir₁	Integridad referencial₂	Tipo de entrada
Ocultamiento	`RedactConfig`	Quita un valor y lo oculta.			Cualquiera
Reemplazo	`ReplaceValueConfig`	Reemplaza cada valor de entrada con un valor determinado.			Cualquiera
Reemplazar por diccionario	`ReplaceDictionaryConfig`	Reemplaza un valor de entrada por un valor que se elige al azar de una lista de palabras.			Cualquiera
Reemplazo con Infotipo	`ReplaceWithInfoTypeConfig`	Reemplaza un valor de entrada con el nombre de su Infotipo.			Cualquiera
Enmascaramiento con caracteres	`CharacterMaskConfig`	Enmascara una string por completo o parcialmente mediante el reemplazo de un número determinado de caracteres con un carácter fijo especificado.			Cualquiera
Seudonimización mediante el reemplazo de un valor de entrada con un hash criptográfico	`CryptoHashConfig`	Reemplaza valores de entrada con una string hexadecimal de 32 bytes mediante una clave de encriptación de datos. Para obtener más información, consulta la documentación conceptual de seudonimización.		✔	Strings o números enteros
Seudonimización mediante el reemplazo por token de preservación de formato criptográfico	`CryptoReplaceFfxFpeConfig`	Reemplaza un valor de entrada con un token, o valor sustituto, de la misma longitud mediante la encriptación de preservación de formato (FPE) con el modo de operación FFX. Esto permite que la salida se use en sistemas con validación de formato en función de la longitud. Esto es útil para los sistemas heredados en los que se debe mantener la longitud de la string. Importante: Para las entradas que varían en su longitud o que tienen una longitud superior a 32 bytes, usa `CryptoDeterministicConfig`. Para mantener la seguridad, el Instituto Nacional de Normas y Tecnología recomienda usar los siguientes límites: radix^max_size <= 2^128. radix^min_len >= 100 Además de garantizar la integridad referencial, recomendamos el uso de CryptoDeterministicConfig para todos los casos prácticos que no requieran conservar el espacio y el tamaño del alfabeto de entrada. Para obtener más información, consulta la documentación conceptual de seudonimización.	✔	✔	Strings o números enteros con una cantidad limitada de caracteres y una longitud uniforme. El alfabeto debe estar compuesto al menos por 2 caracteres y no debe contener más de 95.
Seudonimización mediante el reemplazo por token criptográfico	`CryptoDeterministicConfig`	Reemplaza un valor de entrada por un token o un valor subrogado de la misma longitud mediante el uso de AES en modo de vector de inicialización sintética (AES-SIV). Este método de transformación, a diferencia de la asignación de token con preservación de formato, no tiene límites en los grupos de caracteres de string compatibles, genera tokens idénticos para cada instancia de un valor de entrada idéntico y usa subrogados para habilitar la reidentificación con la clave de encriptación original.	✔	✔	Cualquiera
Valores de bucket con base en rangos de tamaño fijos	`FixedSizeBucketingConfig`	Enmascara los valores de entrada y los reemplaza por depósitos, o rangos dentro de los cuales se encuentra el valor de entrada.			Cualquiera
Valores de bucket con base en rangos de tamaño personalizados	`BucketingConfig`	Valores de entrada de depósito con base en rangos configurables por el usuario y valores de reemplazo.			Cualquiera
Cambio de fechas	`DateShiftConfig`	Cambia las fechas por un número de días al azar, con la opción de ser coherente en el mismo contexto.		✔ Conserva la secuencia y la duración	Fechas y horarios
Extracción de datos de tiempo	`TimePartConfig`	Extrae o conserva una parte de los valores de `Date`, `Timestamp` y `TimeOfDay`.			Fechas y horarios

Pies de página

¹ Las transformaciones reversibles se pueden revertir para reidentificar los datos sensibles mediante el método content.reidentify.

² La integridad referencial permite que los registros mantengan su relación incluso mientras se desidentifican los datos. Por ejemplo, en caso de que se trate del mismo contexto y la misma clave criptográfica, los datos serán reemplazados por la misma forma ofuscada cada vez que se transforme, lo que permite que se conserven las conexiones entre los registros.

Ocultamiento

Si solo quieres quitar datos sensibles de tu contenido de entrada, Sensitive Data Protection admite una transformación de ocultamiento (RedactConfig en la API de DLP).

Por ejemplo, supongamos que deseas realizar un ocultamiento simple de todos los Infotipos EMAIL_ADDRESS y que la siguiente cadena se envía a Protección de datos sensibles:

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

La string obtenida será la que se muestra a continuación:

My name is Alicia Abernathy, and my email address is .

En el siguiente ejemplo y código JSON en varios lenguajes, se muestra cómo formar la solicitud a la API y lo que muestra la API de DLP.

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

Para autenticarte en la Protección de datos sensibles, configura las credenciales predeterminadas de la aplicación. Si deseas obtener más información, consulta Configura la autenticación para un entorno de desarrollo local.


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyDataUsingRedactWithMatchedInputValues
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        IEnumerable<InfoType> infoTypes = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct inspect config.
        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infoTypes ?? new InfoType[] { new InfoType { Name = "EMAIL_ADDRESS" } } },
        };

        // Construct redact config.
        var redactConfig = new RedactConfig();

        // Construct deidentify config using redact config.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            RedactConfig = redactConfig
                        }
                    }
                }
            }
        };

        // Construct a request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Check the deidentified content.
        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta las Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyWithRedact de-identify the data by redacting with matched input values
func deidentifyWithRedact(w io.Writer, projectID, inputStr string, infoTypeNames []string) error {
	// projectID := "my-project-id"
	// inputStr := "My name is Alicia Abernathy, and my email address is aabernathy@example.com."
	// infoTypeNames := []string{"EMAIL_ADDRESS"}

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify the content to be inspected.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: inputStr,
		},
	}

	// Specify the type of info the inspection will look for.
	// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
	var infoTypes []*dlppb.InfoType
	for _, it := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: it})
	}
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: infoTypes,
	}

	// Define type of de-identification.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_RedactConfig{
			RedactConfig: &dlppb.RedactConfig{},
		},
	}

	// Associate de-identification type with info type.
	transformation := &dlppb.InfoTypeTransformations_InfoTypeTransformation{
		InfoTypes:               infoTypes,
		PrimitiveTransformation: primitiveTransformation,
	}

	// Construct the configuration for the Redact request and list all desired transformations.
	redactConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: &dlppb.InfoTypeTransformations{
				Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
					transformation,
				},
			},
		},
	}

	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: redactConfig,
		InspectConfig:    inspectConfig,
		Item:             contentItem,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "output: %v", resp.GetItem().GetValue())
	return nil
}

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RedactConfig;

public class DeIdentifyWithRedaction {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect =
        "My name is Alicia Abernathy, and my email address is aabernathy@example.com.";
    deIdentifyWithRedaction(projectId, textToInspect);
  }

  // Inspects the provided text.
  public static void deIdentifyWithRedaction(String projectId, String textToRedact) {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify the content to be inspected.
      ContentItem item = ContentItem.newBuilder().setValue(textToRedact).build();

      // Specify the type of info the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder().setName("EMAIL_ADDRESS").build();
      InspectConfig inspectConfig = InspectConfig.newBuilder().addInfoTypes(infoType).build();
      // Define type of deidentification.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setRedactConfig(RedactConfig.getDefaultInstance())
              .build();
      // Associate deidentification type with info type.
      InfoTypeTransformation transformation =
          InfoTypeTransformation.newBuilder()
              .addInfoTypes(infoType)
              .setPrimitiveTransformation(primitiveTransformation)
              .build();
      // Construct the configuration for the Redact request and list all desired transformations.
      DeidentifyConfig redactConfig =
          DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(
                  InfoTypeTransformations.newBuilder().addTransformations(transformation))
              .build();

      // Construct the Redact request to be sent by the client.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setDeidentifyConfig(redactConfig)
              .setInspectConfig(inspectConfig)
              .build();

      // Use the client to send the API request.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Parse the response and process results
      System.out.println("Text after redaction: " + response.getItem().getValue());
    } catch (Exception e) {
      System.out.println("Error during inspectString: \n" + e.toString());
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// TODO(developer): Replace these variables before running the sample.
// const projectId = "your-project-id";

// The string to deidentify
// const string =
//   'My name is Alicia Abernathy, and my email address is aabernathy@example.com.';

// The infoTypes of information to match
// See https://cloud.google.com/dlp/docs/concepts-infotypes for more information
// about supported infoTypes.
// const infoTypes = [{name: 'EMAIL_ADDRESS'}];

async function deIdentifyRedaction() {
  // Construct deidentify configuration
  const deidentifyConfig = {
    infoTypeTransformations: {
      transformations: [
        {
          infoTypes: infoTypes,
          primitiveTransformation: {
            redactConfig: {},
          },
        },
      ],
    },
  };

  // Construct inspect configuration
  const inspectConfig = {
    infoTypes: infoTypes,
  };

  // Construct Item
  const item = {
    value: string,
  };

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    item,
    deidentifyConfig,
    inspectConfig,
  };

  // Send the request and receive response from the service
  const [response] = await dlp.deidentifyContent(request);

  // Print the results
  console.log(`Text after redaction: ${response.item.value}`);
}

deIdentifyRedaction();

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta las Bibliotecas cliente de Protección de datos sensibles.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RedactConfig;

/**
 * De-identify data: Redacting with matched input values
 * Uses the Data Loss Prevention API to de-identify sensitive data in a string by redacting matched input values.
 *
 * @param string $callingProjectId      The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect         The string to deidentify (will be treated as text).
 */
function deidentify_redact(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $textToInspect = 'My name is Alicia Abernathy, and my email address is aabernathy@example.com.'

): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Specify the content to be de-identify.
    $contentItem = (new ContentItem())
        ->setValue($textToInspect);

    // Specify the type of info the inspection will look for.
    $infoType = (new InfoType())
        ->setName('EMAIL_ADDRESS');
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$infoType]);

    // Define type of de-identification.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setRedactConfig(new RedactConfig());

    // Associate de-identification type with info type.
    $transformation = (new InfoTypeTransformation())
        ->setInfoTypes([$infoType])
        ->setPrimitiveTransformation($primitiveTransformation);

    // Construct the configuration for the Redact request and list all desired transformations.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations((new InfoTypeTransformations())
            ->setTransformations([$transformation]));

    $parent = "projects/$callingProjectId/locations/global";

    // Run request
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($contentItem);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print results
    printf('Text after redaction: %s', $response->getItem()->getValue());
}

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

from typing import List

import google.cloud.dlp


def deidentify_with_redact(
    project: str,
    input_str: str,
    info_types: List[str],
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
    string by redacting matched input values.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [{"primitive_transformation": {"redact_config": {}}}]
        }
    }

    # Construct item
    item = {"value": input_str}

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print out the results.
    print(response.item.value)

REST

Para obtener más información sobre el uso de la API de DLP con JSON, consulta la guía de inicio rápido de JSON.

Método HTTP y URL

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:deidentify

Reemplaza PROJECT_ID por el ID del proyecto.

Entrada de JSON

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is aabernathy@example.com."
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ],
          "primitiveTransformation":{
            "redactConfig":{
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"EMAIL_ADDRESS"
      }
    ]
  }
}

Salida de JSON

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is ."
  },
  "overview":{
    "transformedBytes":"22",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"EMAIL_ADDRESS"
        },
        "transformation":{
          "redactConfig":{
          }
        },
        "results":[
          {
            "count":"1",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"22"
      }
    ]
  }
}

Reemplazo

Las transformaciones de reemplazo sustituyen cada valor de entrada por un valor de token determinado o por el nombre de su Infotipo.

Reemplazo básico

La transformación de reemplazo básico (ReplaceValueConfig en la API de DLP) reemplaza los valores de datos sensibles detectados por un valor que especifiques. Por ejemplo, supongamos que le indicaste a la Protección de datos sensibles que use “[fake@example.com]” para reemplazar todos los infotipos EMAIL_ADDRESS detectados y que la siguiente cadena se envía a la Protección de datos sensibles:

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

Se mostrará la siguiente string:

My name is Alicia Abernathy, and my email address is [fake@example.com].

En el siguiente ejemplo y código JSON en varios lenguajes, se muestra cómo formar la solicitud a la API y lo que muestra la API de DLP.

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyWithReplacement
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        string replaceText = null,
        IEnumerable<InfoType> infoTypes = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Set the info type if null.
        var infotypes = infoTypes ?? new InfoType[] { new InfoType { Name = "EMAIL_ADDRESS" } };

        // Construct the inspect config.
        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infotypes }
        };

        // Construct the replace value config.
        var replaceConfig = new ReplaceValueConfig
        {
            NewValue = new Value { StringValue = replaceText ?? "[email-address]" }
        };

        // Construct the deidentify config using replace value config.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        InfoTypes = { infotypes },
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            ReplaceConfig = replaceConfig
                        }
                    }
                },
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Check the deidentified content.
        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyWithReplacement de-identifies sensitive data by replacing matched input values
func deidentifyWithReplacement(w io.Writer, projectID, inputStr string, infoTypeNames []string, replaceVal string) error {
	// projectId := "your-project-id"
	// inputStr := "My name is Alicia Abernathy, and my email address is aabernathy@example.com."
	// infoTypeNames := []string{"EMAIL_ADDRESS"}
	// replaceVal := "[email-address]"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// item to be analyzed
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{Value: inputStr},
	}

	// Specify the type of info the inspection will look for.
	// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
	var infoTypes []*dlppb.InfoType
	for _, v := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: v})
	}
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: infoTypes,
	}

	// Specify replacement string to be used for the finding.
	replaceValueConfig := &dlppb.ReplaceValueConfig{
		NewValue: &dlppb.Value{
			Type: &dlppb.Value_StringValue{
				StringValue: replaceVal,
			},
		},
	}

	// Define type of de-identification as replacement.
	primitiveTransformation := &dlppb.PrimitiveTransformation_ReplaceConfig{
		ReplaceConfig: replaceValueConfig,
	}

	// Associate de-identification type with info type.
	infoTypeTransformation := &dlppb.InfoTypeTransformations_InfoTypeTransformation{
		InfoTypes: infoTypes,
		PrimitiveTransformation: &dlppb.PrimitiveTransformation{
			Transformation: primitiveTransformation,
		},
	}

	deIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: &dlppb.InfoTypeTransformations{
				Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
					infoTypeTransformation,
				},
			},
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: deIdentifyConfig,
		InspectConfig:    inspectConfig,
		Item:             item,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the results.
	fmt.Fprintf(w, "output : %v", resp.GetItem().GetValue())
	return nil
}

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReplaceValueConfig;
import com.google.privacy.dlp.v2.Value;

public class DeIdentifyWithReplacement {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect =
        "My name is Alicia Abernathy, and my email address is aabernathy@example.com.";
    deIdentifyWithReplacement(projectId, textToInspect);
  }

  // Inspects the provided text.
  public static void deIdentifyWithReplacement(String projectId, String textToRedact) {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify the content to be inspected.
      ContentItem item = ContentItem.newBuilder().setValue(textToRedact).build();

      // Specify the type of info the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder().setName("EMAIL_ADDRESS").build();
      InspectConfig inspectConfig = InspectConfig.newBuilder().addInfoTypes(infoType).build();
      // Specify replacement string to be used for the finding.
      ReplaceValueConfig replaceValueConfig =
          ReplaceValueConfig.newBuilder()
              .setNewValue(Value.newBuilder().setStringValue("[email-address]").build())
              .build();
      // Define type of deidentification as replacement.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder().setReplaceConfig(replaceValueConfig).build();
      // Associate deidentification type with info type.
      InfoTypeTransformation transformation =
          InfoTypeTransformation.newBuilder()
              .addInfoTypes(infoType)
              .setPrimitiveTransformation(primitiveTransformation)
              .build();
      // Construct the configuration for the Redact request and list all desired transformations.
      DeidentifyConfig redactConfig =
          DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(
                  InfoTypeTransformations.newBuilder().addTransformations(transformation))
              .build();

      // Construct the Redact request to be sent by the client.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setDeidentifyConfig(redactConfig)
              .setInspectConfig(inspectConfig)
              .build();

      // Use the client to send the API request.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Parse the response and process results
      System.out.println("Text after redaction: " + response.getItem().getValue());
    } catch (Exception e) {
      System.out.println("Error during inspectString: \n" + e.toString());
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to deidentify
// const string = 'My SSN is 372819127';

// The string to replace sensitive information with
// const replacement = "[REDACTED]"

async function deidentifyWithReplacement() {
  // Construct deidentification request
  const item = {value: string};
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              replaceConfig: {
                newValue: {
                  stringValue: replacement,
                },
              },
            },
          },
        ],
      },
    },
    item: item,
  };

  // Run deidentification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;
  console.log(deidentifiedItem.value);
}

deidentifyWithReplacement();

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReplaceValueConfig;
use Google\Cloud\Dlp\V2\Value;

/**
 * De-identify sensitive data: Replacing matched input values.
 * Uses the Data Loss Prevention API to de-identify sensitive data in a string by replacing matched input values with a value that you specify.
 *
 * @param string $callingProjectId  The Google Cloud project id to use as a parent resource.
 * @param string $string            The string to deidentify (will be treated as text).
 */

function deidentify_replace(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $string = 'My name is Alicia Abernathy, and my email address is aabernathy@example.com.'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Specify the content to be deidentify.
    $content = (new ContentItem())
        ->setValue($string);

    // Specify the type of info the inspection will look for.
    $emailAddressInfoType = (new InfoType())
        ->setName('EMAIL_ADDRESS');

    // Create the configuration object
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$emailAddressInfoType]);

    // Specify replacement string to be used for the finding.
    $replaceValueConfig = (new ReplaceValueConfig())
        ->setNewValue((new Value())
            ->setStringValue('[email-address]'));

    // Define type of deidentification as replacement.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setReplaceConfig($replaceValueConfig);

    // Associate deidentification type with info type.
    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes([$emailAddressInfoType]);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Construct the configuration for the Redact request and list all desired transformations.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Run request
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content)
        ->setInspectConfig($inspectConfig);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results
    printf('Deidentified content: %s' . PHP_EOL, $response->getItem()->getValue());
}

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

from typing import List

import google.cloud.dlp


def deidentify_with_replace(
    project: str,
    input_str: str,
    info_types: List[str],
    replacement_str: str = "REPLACEMENT_STR",
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
    string by replacing matched input values with a value you specify.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
        replacement_str: The string to replace all values that match given
            info types.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "replace_config": {
                            "new_value": {"string_value": replacement_str}
                        }
                    }
                }
            ]
        }
    }

    # Construct item
    item = {"value": input_str}

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print out the results.
    print(response.item.value)

REST

Para obtener más información sobre el uso de la API de DLP con JSON, consulta la guía de inicio rápido de JSON.

Método HTTP y URL

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:deidentify

Reemplaza PROJECT_ID por el ID del proyecto.

Entrada de JSON

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is aabernathy@example.com."
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ],
          "primitiveTransformation":{
            "replaceConfig":{
              "newValue":{
                "stringValue":"[email-address]"
              }
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"EMAIL_ADDRESS"
      }
    ]
  }
}

Salida de JSON

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is [email-address]."
  },
  "overview":{
    "transformedBytes":"22",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"EMAIL_ADDRESS"
        },
        "transformation":{
          "replaceConfig":{
            "newValue":{
              "stringValue":"[email-address]"
            }
          }
        },
        "results":[
          {
            "count":"1",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"22"
      }
    ]
  }
}

Reemplazo de diccionario

El reemplazo de diccionario (ReplaceDictionaryConfig) reemplaza cada dato sensible detectado por un valor que Sensitive Data Protection selecciona de forma aleatoria de una lista de palabras que proporcionas. Este método de transformación es útil si deseas usar valores de sustitutos realistas.

Supongamos que deseas que Sensitive Data Protection detecte direcciones de correo electrónico y reemplace cada valor detectado por una de las tres direcciones de correo electrónico sustitutas.

Envía la siguiente cadena de entrada a Sensitive Data Protection junto con la lista de direcciones de correo electrónico sustitutivas:

Cadena de entrada

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

Lista de palabras

izumi@example.com
alex@example.com
tal@example.com

La cadena que se muestra puede ser cualquiera de las siguientes:

My name is Alicia Abernathy, and my email address is izumi@example.com.

My name is Alicia Abernathy, and my email address is alex@example.com.

My name is Alicia Abernathy, and my email address is tal@example.com.

En el siguiente ejemplo de JSON, se muestra cómo formar la solicitud a la API y lo que muestra la API de DLP.

Consulta la guía de inicio rápido de JSON para obtener más información sobre el uso de la API de DLP con JSON.

Método HTTP y URL

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:deidentify

Reemplaza PROJECT_ID por el ID del proyecto.

Entrada de JSON

{
  "item": {
    "value": "My name is Alicia Abernathy, and my email address is aabernathy@example.com."
  },
  "deidentifyConfig": {
    "infoTypeTransformations": {
      "transformations": [
        {
          "infoTypes": [
            {
              "name": "EMAIL_ADDRESS"
            }
          ],
          "primitiveTransformation": {
            "replaceDictionaryConfig": {
              "wordList": {
                "words": [
                  "izumi@example.com",
                  "alex@example.com",
                  "tal@example.com"
                ]
              }
            }
          }
        }
      ]
    }
  },
  "inspectConfig": {
    "infoTypes": [
      {
        "name": "EMAIL_ADDRESS"
      }
    ]
  }
}

Salida de JSON

{
  "item": {
    "value": "My name is Alicia Abernathy, and my email address is izumi@example.com."
  },
  "overview": {
    "transformedBytes": "22",
    "transformationSummaries": [
      {
        "infoType": {
          "name": "EMAIL_ADDRESS"
        },
        "transformation": {
          "replaceDictionaryConfig": {
            "wordList": {
              "words": [
                "izumi@example.com",
                "alex@example.com",
                "tal@example.com"
              ]
            }
          }
        },
        "results": [
          {
            "count": "1",
            "code": "SUCCESS"
          }
        ],
        "transformedBytes": "22"
      }
    ]
  }
}

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyDataUsingDictionaryReplacement
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        IEnumerable<InfoType> infoTypes = null,
        IEnumerable<string> words = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct inspect config by specifying the type of info to be inspected.
        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infoTypes ?? new InfoType[] { new InfoType { Name = "EMAIL_ADDRESS" } } },
        };

        // Construct dictionary replace config by specifying the list of value which will
        // be replaced by any mentioned values below.
        var replaceConfig = new ReplaceDictionaryConfig
        {
            WordList = new CustomInfoType.Types.Dictionary.Types.WordList
            {
                Words =
                {
                    words ?? new string[]
                    {
                        "izumi@example.com", "alex@example.com", "tal@example.com"
                    }
                }
            }
        };

        // Construct deidentify config using above created replace config.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            ReplaceDictionaryConfig = replaceConfig
                        }
                    }
                }
            }
        };

        // Construct a request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Check the deidentified content.
        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyDataReplaceWithDictionary de-identifies sensitive data in a string by replacing
// each piece of detected sensitive data with a value that Cloud DLP randomly selects from
// a list of words that you provide.
func deidentifyDataReplaceWithDictionary(w io.Writer, projectID, textToDeIdentify string) error {
	// projectId := "my-project-id"
	// textToDeIdentify := "My name is Alicia Abernathy, and my email address is aabernathy@example.com."

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify the content to be inspected.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: textToDeIdentify,
		},
	}

	// Specify the type of info the inspection will look for.
	// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
	infoType := &dlppb.InfoType{
		Name: "EMAIL_ADDRESS",
	}

	// Specify the infotypes to be inspected.
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: []*dlppb.InfoType{
			infoType,
		},
	}

	// Specify list of values which will be randomly picked to replace identified email addresses.
	wordList := &dlppb.ReplaceDictionaryConfig_WordList{
		WordList: &dlppb.CustomInfoType_Dictionary_WordList{
			Words: []string{"izumi@example.com", "alex@example.com"},
		},
	}

	// Specify the Dictionary to use for selecting replacement values for the finding.
	replaceDictionaryConfig := &dlppb.ReplaceDictionaryConfig{
		Type: wordList,
	}

	// Define type of de-identification as replacement with items from dictionary.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_ReplaceDictionaryConfig{
			ReplaceDictionaryConfig: replaceDictionaryConfig,
		},
	}

	transformation := &dlppb.InfoTypeTransformations_InfoTypeTransformation{
		InfoTypes: []*dlppb.InfoType{
			infoType,
		},
		PrimitiveTransformation: primitiveTransformation,
	}

	// Combine configurations into a request for the service.
	deIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: &dlppb.InfoTypeTransformations{
				Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
					transformation,
				},
			},
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: deIdentifyConfig,
		InspectConfig:    inspectConfig,
		Item:             item,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the results.
	fmt.Fprint(w, "output: ", resp.GetItem().GetValue())
	return nil

}

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.



import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CustomInfoType.Dictionary.WordList;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReplaceDictionaryConfig;
import java.io.IOException;

public class DeIdentifyDataReplaceWithDictionary {
  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The string to de-identify
    String textToDeIdentify =
        "My name is Charlie and email address is charlie@example.com.";
    deidentifyDataReplaceWithDictionary(projectId, textToDeIdentify);
  }

  // Performs data de-identification by replacing identified email addresses in a given text with
  // randomly selected values from a dictionary.
  public static void deidentifyDataReplaceWithDictionary(String projectId, String textToDeIdentify)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to de-identify.
      ContentItem item = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Specify the type of info the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder().setName("EMAIL_ADDRESS").build();
      InspectConfig inspectConfig = InspectConfig.newBuilder().addInfoTypes(infoType).build();

      // Specify list of value which will randomly replace identified email addresses.
      WordList wordList =
          WordList.newBuilder().addWords("izumi@example.com").addWords("alex@example.com").build();

      // Specify the dictionary to use for selecting replacement values for the finding.
      ReplaceDictionaryConfig replaceDictionaryConfig =
          ReplaceDictionaryConfig.newBuilder().setWordList(wordList).build();

      // Define type of de-identification as replacement with items from dictionary.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setReplaceDictionaryConfig(replaceDictionaryConfig)
              .build();

      InfoTypeTransformations.InfoTypeTransformation transformation =
          InfoTypeTransformations.InfoTypeTransformation.newBuilder()
              .addInfoTypes(infoType)
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(
                  InfoTypeTransformations.newBuilder().addTransformations(transformation))
              .build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setDeidentifyConfig(deidentifyConfig)
              .setInspectConfig(inspectConfig)
              .build();

      // Use the client to send the API request.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Parse the response and process results.
      System.out.print("Text after de-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to de-identify
// const string = 'My name is Alicia Abernathy, and my email address is aabernathy@example.com.';

// The infoTypes of information to match
// const infoTypes = [{ name: 'EMAIL_ADDRESS' }];

// The words to replace sensitive information with
// const words = ['izumi@example.com', 'alex@example.com', 'tal@example.com'];

async function deidentifyWithDictionaryReplacement() {
  // Construct word list to be used for replacement
  const wordList = {
    words: words,
  };
  // Construct item to de-identify
  const item = {value: string};

  // Specify replacement dictionary config using word list.
  const replaceDictionaryConfig = {
    wordList: wordList,
  };

  // Associate replacement dictionary config with infotype transformation.
  const infoTypeTransformations = {
    transformations: [
      {
        infoTypes: infoTypes,
        primitiveTransformation: {
          replaceDictionaryConfig: replaceDictionaryConfig,
        },
      },
    ],
  };

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: infoTypeTransformations,
    },
    item: item,
  };

  // Run de-identification request.
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;

  // Print results.
  console.log(deidentifiedItem.value);
}

deidentifyWithDictionaryReplacement();

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary\WordList;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReplaceDictionaryConfig;

/**
 * Dictionary replacement
 * Dictionary replacement (ReplaceDictionaryConfig) replaces each piece of detected sensitive data with a
 * value that Cloud DLP randomly selects from a list of words that you provide. This transformation method
 * is useful if you want to use realistic surrogate values.Suppose you want Cloud DLP to detect email addresses
 * and replace each detected value with one of three surrogate email addresses.
 *
 * @param string $callingProjectId  The project ID to run the API call under.
 * @param string $textToDeIdentify  The String you want the service to DeIdentify.
 */
function deidentify_dictionary_replacement(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $textToDeIdentify = 'My name is Charlie and email address is charlie@example.com.'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Specify what content you want the service to de-identify.
    $contentItem = (new ContentItem())
        ->setValue($textToDeIdentify);

    // Specify the type of info the inspection will look for.
    // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
    $emailAddress = (new InfoType())
        ->setName('EMAIL_ADDRESS');

    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$emailAddress]);

    // Define type of de-identification as replacement with items from dictionary.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setReplaceDictionaryConfig(
            // Specify the dictionary to use for selecting replacement values for the finding.
            (new ReplaceDictionaryConfig())
                ->setWordList(
                    // Specify list of value which will randomly replace identified email addresses.
                    (new WordList())
                        ->setWords(['izumi@example.com', 'alex@example.com', 'tal@example.com'])
                )
        );

    $transformation = (new InfoTypeTransformation())
        ->setInfoTypes([$emailAddress])
        ->setPrimitiveTransformation($primitiveTransformation);

    // Construct the configuration for the de-identification request and list all desired transformations.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations(
            (new InfoTypeTransformations())
                ->setTransformations([$transformation])
        );

    // Send the request and receive response from the service.
    $parent = "projects/$callingProjectId/locations/global";
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($contentItem);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results.
    printf('Text after replace with infotype config: %s', $response->getItem()->getValue());
}

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

from typing import List

import google.cloud.dlp


def deindentify_with_dictionary_replacement(
    project: str,
    input_str: str,
    info_types: List[str],
    word_list: List[str],
) -> None:
    """Uses the Data Loss Prevention API to de-identify sensitive data in a
    string by replacing each piece of detected sensitive data with a value
    that Cloud DLP randomly selects from a list of words that you provide.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing infoTypes to look for.
        word_list: List of words or phrases to search for in the data.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Construct list of info types
    info_types = [{"name": info_type} for info_type in info_types]

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "info_types": info_types,
                    "primitive_transformation": {
                        "replace_dictionary_config": {"word_list": {"words": word_list}}
                    },
                }
            ]
        }
    }

    # Construct the `item`
    item = {"value": input_str}

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": {"info_types": info_types},
            "item": item,
        }
    )

    # Print out the results.
    print(f"De-identified Content: {response.item.value}")

Reemplazo del Infotipo

También puedes especificar un reemplazo del Infotipo (ReplaceWithInfoTypeConfig en la API de DLP). Esta transformación hace lo mismo que la transformación de reemplazo básico, pero reemplaza cada valor de datos sensibles detectado por el Infotipo del valor detectado.

Por ejemplo, supongamos que le indicaste a la Protección de datos sensibles que detecte las direcciones de correo electrónico y los apellidos, y que reemplace cada valor detectado por el Infotipo del valor. Debes enviar la siguiente cadena a Sensitive Data Protection:

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

Se mostrará la siguiente string:

My name is Alicia LAST_NAME, and my email address is EMAIL_ADDRESS.

Enmascaramiento

Puedes configurar la Protección de datos sensibles para que enmascare de forma total o parcial un valor sensible detectado (CharacterMaskConfig en la API de DLP) si reemplazas cada carácter por un único carácter de enmascaramiento fijo, como un asterisco (*) o un hash (#). El enmascaramiento puede comenzar en el principio o el final de la cadena. Esta transformación también funciona con los tipos de número como los números enteros largos.

La transformación de enmascaramiento de Sensitive Data Protection tiene las siguientes opciones que puedes especificar:

Carácter de enmascaramiento (el argumento maskingCharacter en la API de DLP): Es el carácter que se usa para enmascarar cada carácter de un valor sensible. Por ejemplo, puedes especificar un asterisco (*) o un signo de dólar ($) para enmascarar una serie de números, como los del número de una tarjeta de crédito.
El número de caracteres que se debe enmascarar (numberToMask): Si no especificas este valor, se enmascararán todos los caracteres.
Si se debe invertir el orden (reverseOrder): Indica si se deben enmascarar los caracteres en orden inverso. Invertir el orden hace que los caracteres de los valores coincidentes se enmascaren desde el final hacia el principio del valor.
Caracteres que se deben ignorar (charactersToIgnore): Son uno o más caracteres que se deben omitir cuando se enmascaran valores. Por ejemplo, puedes indicarle a Sensitive Data Protection que se conserven los guiones en su lugar cuando se enmascare un número de teléfono. También puedes especificar un grupo de caracteres comunes (CharsToIgnore) para que se los ignore cuando se enmascara.

Supongamos que envías la siguiente cadena a Sensitive Data Protection y le indicas que use la transformación de enmascaramiento de caracteres en las direcciones de correo electrónico:

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

Si se envía el carácter de enmascaramiento a “#”, se configuran los caracteres que se deben ignorar como el grupo de caracteres común y se mantiene el resto de la configuración predeterminada, la Protección de datos sensibles mostrará lo siguiente:

My name is Alicia Abernathy, and my email address is ##########@#######.###.

En los siguientes ejemplos de código y JSON, se demuestra cómo funciona la transformación de enmascaramiento.

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.CharacterMaskConfig;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import java.io.IOException;
import java.util.Arrays;

public class DeIdentifyWithMasking {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToDeIdentify = "My SSN is 372819127";
    deIdentifyWithMasking(projectId, textToDeIdentify);
  }

  public static void deIdentifyWithMasking(String projectId, String textToDeIdentify)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {

      // Specify what content you want the service to DeIdentify
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Specify the type of info the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder().setName("US_SOCIAL_SECURITY_NUMBER").build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addAllInfoTypes(Arrays.asList(infoType)).build();

      // Specify how the info from the inspection should be masked.
      CharacterMaskConfig characterMaskConfig =
          CharacterMaskConfig.newBuilder()
              .setMaskingCharacter("X") // Character to replace the found info with
              .setNumberToMask(5) // How many characters should be masked
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCharacterMaskConfig(characterMaskConfig)
              .build();
      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();
      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results
      System.out.println("Text after masking: " + response.getItem().getValue());
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project-id';

// The string to deidentify
// const string = 'My SSN is 372819127';

// (Optional) The maximum number of sensitive characters to mask in a match
// If omitted from the request or set to 0, the API will mask any matching characters
// const numberToMask = 5;

// (Optional) The character to mask matching sensitive data with
// const maskingCharacter = 'x';

// Construct deidentification request
const item = {value: string};

async function deidentifyWithMask() {
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              characterMaskConfig: {
                maskingCharacter: maskingCharacter,
                numberToMask: numberToMask,
              },
            },
          },
        ],
      },
    },
    item: item,
  };

  // Run deidentification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;
  console.log(deidentifiedItem.value);
}

deidentifyWithMask();

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

from typing import List

import google.cloud.dlp


def deidentify_with_mask(
    project: str,
    input_str: str,
    info_types: List[str],
    masking_character: str = None,
    number_to_mask: int = 0,
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
    string by masking it with a character.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
            A full list of info type categories can be fetched from the API.
        masking_character: The character to mask matching sensitive data with.
        number_to_mask: The maximum number of sensitive characters to mask in
            a match. If omitted or set to zero, the API will default to no
            maximum.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "character_mask_config": {
                            "masking_character": masking_character,
                            "number_to_mask": number_to_mask,
                        }
                    }
                }
            ]
        }
    }

    # Construct item
    item = {"value": input_str}

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print out the results.
    print(response.item.value)

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// mask deidentifies the input by masking all provided info types with maskingCharacter
// and prints the result to w.
func mask(w io.Writer, projectID, input string, infoTypeNames []string, maskingCharacter string, numberToMask int32) error {
	// projectID := "my-project-id"
	// input := "My SSN is 111222333"
	// infoTypeNames := []string{"US_SOCIAL_SECURITY_NUMBER"}
	// maskingCharacter := "+"
	// numberToMask := 6
	// Will print "My SSN is ++++++333"

	ctx := context.Background()
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}
	defer client.Close()
	// Convert the info type strings to a list of InfoTypes.
	var infoTypes []*dlppb.InfoType
	for _, it := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: it})
	}
	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: infoTypes,
		},
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: &dlppb.InfoTypeTransformations{
					Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
						{
							InfoTypes: []*dlppb.InfoType{}, // Match all info types.
							PrimitiveTransformation: &dlppb.PrimitiveTransformation{
								Transformation: &dlppb.PrimitiveTransformation_CharacterMaskConfig{
									CharacterMaskConfig: &dlppb.CharacterMaskConfig{
										MaskingCharacter: maskingCharacter,
										NumberToMask:     numberToMask,
									},
								},
							},
						},
					},
				},
			},
		},
		// The item to analyze.
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: input,
			},
		},
	}
	// Send the request.
	r, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return fmt.Errorf("DeidentifyContent: %w", err)
	}
	// Print the result.
	fmt.Fprint(w, r.GetItem().GetValue())
	return nil
}

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

use Google\Cloud\Dlp\V2\CharacterMaskConfig;
use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;

/**
 * Deidentify sensitive data in a string by masking it with a character.
 *
 * @param string $callingProjectId The GCP Project ID to run the API call under
 * @param string $string           The string to deidentify
 * @param int    $numberToMask     (Optional) The maximum number of sensitive characters to mask in a match
 * @param string $maskingCharacter (Optional) The character to mask matching sensitive data with (defaults to "x")
 */
function deidentify_mask(
    string $callingProjectId,
    string $string,
    int $numberToMask = 0,
    string $maskingCharacter = 'x'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // The infoTypes of information to mask
    $ssnInfoType = (new InfoType())
        ->setName('US_SOCIAL_SECURITY_NUMBER');
    $infoTypes = [$ssnInfoType];

    // Create the masking configuration object
    $maskConfig = (new CharacterMaskConfig())
        ->setMaskingCharacter($maskingCharacter)
        ->setNumberToMask($numberToMask);

    // Create the information transform configuration objects
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCharacterMaskConfig($maskConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes($infoTypes);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the deidentification configuration object
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    $item = (new ContentItem())
        ->setValue($string);

    $parent = "projects/$callingProjectId/locations/global";

    // Run request
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($item);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results
    $deidentifiedValue = $response->getItem()->getValue();
    print($deidentifiedValue);
}

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyWithMasking
{
    public static DeidentifyContentResponse Deidentify(string projectId, string text)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Construct a request.
        var transformation = new InfoTypeTransformations.Types.InfoTypeTransformation
        {
            PrimitiveTransformation = new PrimitiveTransformation
            {
                CharacterMaskConfig = new CharacterMaskConfig
                {
                    MaskingCharacter = "*",
                    NumberToMask = 5,
                    ReverseOrder = false,
                }
            }
        };
        var request = new DeidentifyContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            InspectConfig = new InspectConfig
            {
                InfoTypes =
                {
                    new InfoType { Name = "US_SOCIAL_SECURITY_NUMBER" }
                }
            },
            DeidentifyConfig = new DeidentifyConfig
            {
                InfoTypeTransformations = new InfoTypeTransformations
                {
                    Transformations = { transformation }
                }
            },
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Inspect the results.
        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

REST

Para obtener más información sobre el uso de la API de DLP con JSON, consulta la guía de inicio rápido de JSON.

Método HTTP y URL

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:deidentify

Reemplaza PROJECT_ID por el ID del proyecto.

Entrada de JSON

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is aabernathy@example.com."
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ],
          "primitiveTransformation":{
            "characterMaskConfig":{
              "maskingCharacter":"#",
              "reverseOrder":false,
              "charactersToIgnore":[
                {
                  "charactersToSkip":".@"
                }
              ]
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"EMAIL_ADDRESS"
      }
    ]
  }
}

Salida de JSON

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is ##########@#######.###."
  },
  "overview":{
    "transformedBytes":"22",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"EMAIL_ADDRESS"
        },
        "transformation":{
          "characterMaskConfig":{
            "maskingCharacter":"#",
            "charactersToIgnore":[
              {
                "charactersToSkip":".@"
              }
            ]
          }
        },
        "results":[
          {
            "count":"1",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"22"
      }
    ]
  }
}

Transformaciones de asignación de tokens basada en criptografía

Las transformaciones de asignación de tokens basada en criptografía (también conocida como “seudonimización”) son métodos de desidentificación que reemplazan los valores originales de los datos sensibles por valores encriptados. Sensitive Data Protection admite los siguientes tipos de asignación de tokens, incluidas las transformaciones que se pueden revertir y permiten la reidentificación:

Hashing criptográfico: Si se le otorga una CryptoKey, la Protección de datos sensibles usa un código de autenticación de mensajes basado en SHA-256 (HMAC-SHA-256) en el valor de entrada y, luego, reemplaza el valor de entrada por el valor de hash codificado en base64. A diferencia de otros tipos de transformaciones basadas en criptografía, este tipo de transformación no es reversible.
Encriptación de preservación de formato: Reemplaza un valor de entrada por un token que se generó mediante la encriptación de preservación de formato (FPE) con el modo de operación FFX. Este método de transformación produce un token que está limitado al mismo alfabeto que el valor de entrada y tiene la misma longitud que este. La FPE también admite la reidentificación si se otorga la clave de encriptación original.
Encriptación determinista: Reemplaza un valor de entrada por un token que se generó mediante el uso de AES en modo de vector de inicialización sintética (AES-SIV). Este método de transformación no tiene límites en los grupos de caracteres de string compatibles, genera tokens idénticos para cada instancia de un valor de entrada idéntico y usa valores subrogados a fin de habilitar la reidentificación si se otorga la clave de encriptación original.

Hashing criptográfico

La transformación de hashing criptográfico (CryptoHashConfig en la API de DLP) toma un valor de entrada (un dato sensible que detectó la Protección de datos sensibles) y lo reemplaza por un valor de hash. El valor de hash se genera mediante el uso de un código de autenticación de mensajes basado en SHA-256 (HMAC-SHA-256) en el valor de entrada con una CryptoKey.

La Protección de datos sensibles genera una representación codificada en base64 del valor de entrada de hash, en lugar del valor original.

Antes de usar la transformación de hashing criptográfico, ten en cuenta lo siguiente:

El valor de entrada no está encriptado, pero tiene un hash.
Esta transformación no se puede revertir. Es decir, si se otorga la clave criptográfica original y el valor de salida de hash de la transformación, no hay manera de restablecer el valor original.
Por el momento, solo se puede generar un hash en los valores de número entero y string.
La salida con un hash de la transformación siempre tiene la misma longitud, según el tamaño de la clave criptográfica. Por ejemplo, si usas la transformación de hashing criptográfico en números de teléfono de 10 dígitos, cada número de teléfono se reemplazará por un valor de hash codificado en base64 de longitud fija.

Encriptación de preservación de formato

El método de transformación de encriptación de preservación de formato (FPE) (CryptoReplaceFfxFpeConfig en la API de DLP) toma un valor de entrada (un dato sensible que detectó la Protección de datos sensibles), lo encripta con la encriptación de preservación de formato en modo FFX y un CryptoKey y, luego, reemplaza el valor original por el valor encriptado o el token.

El valor de entrada debe cumplir las siguientes condiciones:

Debe constar de al menos dos caracteres (o la string vacía).
Se debe codificar como ASCII.
Debe estar compuesto por los caracteres que especifica un “alfabeto”, que es el conjunto de entre 2 y 95 caracteres permitidos en el valor de entrada. Para obtener más información, consulta el campo del alfabeto en CryptoReplaceFfxFpeConfig.

El token generado tiene las siguientes características:

Es el valor de entrada encriptado.
Conserva el grupo de caracteres (“alfabeto”) y la longitud del valor de entrada luego de la encriptación.
Se calcula mediante la encriptación de preservación de formato en el modo FFX que está vinculada con la clave criptográfica especificada.
No es necesariamente único, ya que cada instancia del mismo valor de entrada genera el mismo token cuando se desidentifica. Esto habilita la integridad referencial y, por lo tanto, permite una búsqueda más eficiente de los datos desidentificados. Puedes cambiar este comportamiento si realizas “ajustes” de contexto, como se describe en Contextos.

Si hay varias instancias de un valor de entrada en el contenido de origen, cada una generará el mismo token cuando se desidentifique. La FPE conserva la longitud y el espacio del alfabeto (el grupo de caracteres), que tiene un límite de 95 caracteres. Puedes cambiar este comportamiento si realizas “ajustes” de contexto, lo que puede mejorar la seguridad. La adición de un ajuste de contexto a la transformación permite que la Protección de datos sensibles desidentifique varias instancias del mismo valor de entrada como tokens diferentes. Si no necesitas conservar la longitud y el espacio del alfabeto de los valores originales, usa la encriptación determinista, que se describe a continuación.

La Protección de datos sensibles calcula el token de reemplazo con una clave criptográfica. Debes proporcionar esta clave de una de las siguientes tres maneras:

Incorpórala sin encriptar en la solicitud a la API. No se recomienda hacerlo.
Solicita que Sensitive Data Protection la genere.
Incorpórala ya encriptada en la solicitud a la API.

Si eliges incorporar la clave en la solicitud a la API, debes crear una clave y unirla (encriptarla) con una clave de Cloud Key Management Service (Cloud KMS). Para obtener más información, consulta Crea una clave unida. El valor que se muestra es una string codificada en base64 de forma predeterminada. Para establecer este valor en la Protección de datos sensibles, debes decodificarlo en una cadena de bytes. En los siguientes fragmentos de código, se destaca cómo realizar esto en varios lenguajes. A continuación de estos fragmentos, se proporcionan ejemplos de extremo a extremo.

Java

KmsWrappedCryptoKey.newBuilder()
    .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedKey)))

Python

# The wrapped key is base64-encoded, but the library expects a binary
# string, so decode it here.
import base64
wrapped_key = base64.b64decode(wrapped_key)

PHP

// Create the wrapped crypto key configuration object
$kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
    ->setWrappedKey(base64_decode($wrappedKey))
    ->setCryptoKeyName($keyName);

C#

WrappedKey = ByteString.FromBase64(wrappedKey)

Para obtener más información sobre la encriptación y la desencriptación de datos mediante Cloud KMS, consulta Encripta y desencripta datos.

Ejemplos de encriptación de preservación de formato: desidentificación

En este ejemplo, se usa el método de transformación CryptoReplaceFfxFpeConfig para desidentificar datos sensibles. Para obtener más información, consulta Encriptación de preservación de formato en esta página.

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.Arrays;

public class DeIdentifyWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToDeIdentify = "I'm Gary and my SSN is 552096781";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    deIdentifyWithFpe(projectId, textToDeIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void deIdentifyWithFpe(
      String projectId, String textToDeIdentify, String kmsKeyName, String wrappedAesKey)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to DeIdentify
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Specify the type of info the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder().setName("US_SOCIAL_SECURITY_NUMBER").build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addAllInfoTypes(Arrays.asList(infoType)).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how the info from the inspection should be encrypted.
      InfoType surrogateInfoType = InfoType.newBuilder().setName("SSN_TOKEN").build();
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();
      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();
      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results
      System.out.println(
          "Text after format-preserving encryption: " + response.getItem().getValue());
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to deidentify
// const string = 'My SSN is 372819127';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'ALPHA_NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// (Optional) The name of the surrogate custom info type to use
// Only necessary if you want to reverse the deidentification process
// Can be essentially any arbitrary string, as long as it doesn't appear
// in your dataset otherwise.
// const surrogateType = 'SOME_INFO_TYPE_DEID';

async function deidentifyWithFpe() {
  // Construct FPE config
  const cryptoReplaceFfxFpeConfig = {
    cryptoKey: {
      kmsWrapped: {
        wrappedKey: wrappedKey,
        cryptoKeyName: keyName,
      },
    },
    commonAlphabet: alphabet,
  };
  if (surrogateType) {
    cryptoReplaceFfxFpeConfig.surrogateInfoType = {
      name: surrogateType,
    };
  }

  // Construct deidentification request
  const item = {value: string};
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              cryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
            },
          },
        ],
      },
    },
    item: item,
  };

  // Run deidentification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;
  console.log(deidentifiedItem.value);
}
deidentifyWithFpe();

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import base64
from typing import List

import google.cloud.dlp


def deidentify_with_fpe(
    project: str,
    input_str: str,
    info_types: List[str],
    alphabet: str = None,
    surrogate_type: str = None,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
    string using Format Preserving Encryption (FPE).
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
        surrogate_type: The name of the surrogate custom info type to use. Only
            necessary if you want to reverse the deidentification process. Can
            be essentially any arbitrary string, as long as it doesn't appear
            in your dataset otherwise.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Construct FPE configuration dictionary
    crypto_replace_ffx_fpe_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name}
        },
        "common_alphabet": alphabet,
    }

    # Add surrogate type
    if surrogate_type:
        crypto_replace_ffx_fpe_config["surrogate_info_type"] = {"name": surrogate_type}

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": crypto_replace_ffx_fpe_config
                    }
                }
            ]
        }
    }

    # Convert string to item
    item = {"value": input_str}

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(response.item.value)

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyFPE deidentifies the input with FPE (Format Preserving Encryption).
// keyFileName is the file name with the KMS wrapped key and cryptoKeyName is the
// full KMS key resource name used to wrap the key. surrogateInfoType is an
// optional identifier needed for reidentification. surrogateInfoType can be any
// value not found in your input.
// Info types can be found with the infoTypes.list method or on https://cloud.google.com/dlp/docs/infotypes-reference
func deidentifyFPE(w io.Writer, projectID, input string, infoTypeNames []string, kmsKeyName, wrappedAESKey, surrogateInfoType string) error {
	// projectID := "my-project-id"
	// input := "My SSN is 123456789"
	// infoTypeNames := []string{"US_SOCIAL_SECURITY_NUMBER"}
	// kmsKeyName := "projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME"
	// wrappedAESKey := "YOUR_ENCRYPTED_AES_256_KEY"
	// surrogateInfoType := "AGE"
	ctx := context.Background()
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}
	defer client.Close()
	// Convert the info type strings to a list of InfoTypes.
	var infoTypes []*dlppb.InfoType
	for _, it := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: it})
	}

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsWrappedCryptoKey, err := base64.StdEncoding.DecodeString(wrappedAESKey)
	if err != nil {
		return err
	}

	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: infoTypes,
		},
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: &dlppb.InfoTypeTransformations{
					Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
						{
							InfoTypes: []*dlppb.InfoType{}, // Match all info types.
							PrimitiveTransformation: &dlppb.PrimitiveTransformation{
								Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
									CryptoReplaceFfxFpeConfig: &dlppb.CryptoReplaceFfxFpeConfig{
										CryptoKey: &dlppb.CryptoKey{
											Source: &dlppb.CryptoKey_KmsWrapped{
												KmsWrapped: &dlppb.KmsWrappedCryptoKey{
													WrappedKey:    kmsWrappedCryptoKey,
													CryptoKeyName: kmsKeyName,
												},
											},
										},
										// Set the alphabet used for the output.
										Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
											CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_ALPHA_NUMERIC,
										},
										// Set the surrogate info type, used for reidentification.
										SurrogateInfoType: &dlppb.InfoType{
											Name: surrogateInfoType,
										},
									},
								},
							},
						},
					},
				},
			},
		},
		// The item to analyze.
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: input,
			},
		},
	}
	// Send the request.
	r, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return fmt.Errorf("DeidentifyContent: %w", err)
	}
	// Print the result.
	fmt.Fprint(w, r.GetItem().GetValue())
	return nil
}

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;

/**
 * Deidentify a string using Format-Preserving Encryption (FPE).
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under
 * @param string $string            The string to deidentify
 * @param string $keyName           The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key
 * @param string $wrappedKey        The name of the Cloud KMS key use, encrypted with the KMS key in $keyName
 * @param string $surrogateTypeName (Optional) surrogate custom info type to enable reidentification
 */
function deidentify_fpe(
    string $callingProjectId,
    string $string,
    string $keyName,
    string $wrappedKey,
    string $surrogateTypeName = ''
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // The infoTypes of information to mask
    $ssnInfoType = (new InfoType())
        ->setName('US_SOCIAL_SECURITY_NUMBER');
    $infoTypes = [$ssnInfoType];

    // Create the wrapped crypto key configuration object
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedKey))
        ->setCryptoKeyName($keyName);

    // The set of characters to replace sensitive ones with
    // For more information, see https://cloud.google.com/dlp/docs/reference/rest/V2/organizations.deidentifyTemplates#ffxcommonnativealphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Create the crypto key configuration object
    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Create the crypto FFX FPE configuration object
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet);

    if ($surrogateTypeName) {
        $surrogateType = (new InfoType())
            ->setName($surrogateTypeName);
        $cryptoReplaceFfxFpeConfig->setSurrogateInfoType($surrogateType);
    }

    // Create the information transform configuration objects
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes($infoTypes);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the deidentification configuration object
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    $content = (new ContentItem())
        ->setValue($string);

    $parent = "projects/$callingProjectId/locations/global";

    // Run request
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results
    $deidentifiedValue = $response->getItem()->getValue();
    print($deidentifiedValue);
}

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class DeidentifyWithFpe
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string dataValue,
        IEnumerable<InfoType> infoTypes,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet)
    {
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
                            {
                                CommonAlphabet = alphabet,
                                CryptoKey = new CryptoKey
                                {
                                    KmsWrapped = new KmsWrappedCryptoKey
                                    {
                                        CryptoKeyName = keyName,
                                        WrappedKey = ByteString.FromBase64 (wrappedKey)
                                    }
                                },
                                SurrogateInfoType = new InfoType
                                {
                                    Name = "TOKEN"
                                }
                            }
                        }
                    }
                }
            }
        };

        var dlp = DlpServiceClient.Create();
        var response = dlp.DeidentifyContent(
            new DeidentifyContentRequest
            {
                Parent = new LocationName(projectId, "global").ToString(),
                InspectConfig = new InspectConfig
                {
                    InfoTypes = { infoTypes }
                },
                DeidentifyConfig = deidentifyConfig,
                Item = new ContentItem { Value = dataValue }
            });

        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

Ejemplos de encriptación de preservación de formato: desidentificación con tipo subrogado

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyFreeTextWithFPEUsingSurrogate de-identifies free text with FPE by using a surrogate
func deidentifyFreeTextWithFPEUsingSurrogate(w io.Writer, projectID, inputStr, infoType, surrogateType, unwrappedKey string) error {
	// projectId := "your-project-id"
	// inputStr := "My phone number is 9824376677"
	// infoType := "PHONE_NUMBER"
	// surrogateType := "PHONE_TOKEN"
	// unwrappedKey := "The base64-encoded AES-256 key to use"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// decoding the unwrapped key
	keyDecode, err := base64.StdEncoding.DecodeString(unwrappedKey)
	if err != nil {
		return err
	}

	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: []*dlppb.InfoType{
			{Name: infoType},
		},
		MinLikelihood: dlppb.Likelihood_UNLIKELY,
	}

	// specify the content to be de-identified
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: inputStr,
		},
	}

	// Specify how the content should be encrypted.
	cryptoReplaceConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: &dlppb.CryptoKey_Unwrapped{
				Unwrapped: &dlppb.UnwrappedCryptoKey{
					Key: keyDecode,
				},
			},
		},
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_NUMERIC,
		},
		SurrogateInfoType: &dlppb.InfoType{
			Name: surrogateType,
		},
	}

	// Apply crypto replace config to primitive transformation.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
			CryptoReplaceFfxFpeConfig: cryptoReplaceConfig,
		},
	}

	infoTypeTransformation := &dlppb.DeidentifyConfig_InfoTypeTransformations{
		InfoTypeTransformations: &dlppb.InfoTypeTransformations{
			Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
				{
					InfoTypes: []*dlppb.InfoType{
						{Name: infoType},
					},
					PrimitiveTransformation: primitiveTransformation,
				},
			},
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: infoTypeTransformation,
		},
		InspectConfig: inspectConfig,
		Item:          contentItem,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the results.
	fmt.Fprintf(w, "output: %v", resp.GetItem().GetValue())
	return nil
}

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.UnwrappedCryptoKey;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.Base64;
import java.util.Collections;
import javax.crypto.KeyGenerator;
import javax.crypto.SecretKey;

public class DeidentifyFreeTextWithFpeUsingSurrogate {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.

    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The string to de-identify.
    String textToDeIdentify = "My phone number is 4359916732";
    // The base64-encoded key to use.
    String base64EncodedKey = "your-base64-encoded-key";

    deIdentifyWithFpeSurrogate(projectId, textToDeIdentify, base64EncodedKey);
  }

  /**
   * Uses the Data Loss Prevention API to deidentify sensitive data in a string using Format
   * Preserving Encryption (FPE).The encryption is performed with an unwrapped key.
   *
   * @param projectId The Google Cloud project id to use as a parent resource.
   * @param textToDeIdentify The string to deidentify.
   * @param unwrappedKey The base64-encoded AES-256 key to use.
   */
  public static String deIdentifyWithFpeSurrogate(
      String projectId, String textToDeIdentify, String unwrappedKey) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Set the text to be de-identified.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Specify the InfoType the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder()
              .setName("PHONE_NUMBER").build();

      InspectConfig inspectConfig =
          InspectConfig.newBuilder()
                  .addAllInfoTypes(Collections.singletonList(infoType)).build();

      // Specify an unwrapped crypto key.
      UnwrappedCryptoKey unwrappedCryptoKey =
          UnwrappedCryptoKey.newBuilder()
              .setKey(ByteString.copyFrom(BaseEncoding.base64().decode(unwrappedKey)))
              .build();

      CryptoKey cryptoKey = CryptoKey.newBuilder().setUnwrapped(unwrappedCryptoKey).build();

      InfoType surrogateInfoType = InfoType.newBuilder().setName("PHONE_TOKEN").build();

      // Specify how the info from the inspection should be encrypted.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();

      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();

      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder()
                  .addTransformations(infoTypeTransformation).build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder()
                  .setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results.
      System.out.println("Text after de-identification: " + response.getItem().getValue());

      return response.getItem().getValue();
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to de-identify
// const string = 'My phone number is 4359916732';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'NUMERIC';

// InfoTypes
// const infoTypes = [{name: 'PHONE_NUMBER'}];

// Surrogate Type
// const surrogateType = 'PHONE_TOKEN';

// The base64-encoded AES-256 key to use
// const unwrappedKey = 'YWJjZGVmZ2hpamtsbW5vcA==';

async function deidentifyWithFpeSurrogate() {
  // Specify an unwrapped crypto key.
  unwrappedKey = Buffer.from(unwrappedKey, 'base64');

  // Specify how the info from the inspection should be encrypted.
  const cryptoReplaceFfxFpeConfig = {
    cryptoKey: {
      unwrapped: {
        key: unwrappedKey,
      },
    },
    commonAlphabet: alphabet,
    surrogateInfoType: {name: surrogateType},
  };

  // Construct the inspect configuration.
  const inspectConfig = {
    infoTypes: infoTypes,
    minLikelihood: DLP.protos.google.privacy.dlp.v2.Likelihood.UNLIKELY,
  };

  // Set the text to be de-identified.
  const item = {value: string};

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              cryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
            },
          },
        ],
      },
    },
    item: item,
    inspectConfig: inspectConfig,
  };
  // Run de-identification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;
  // Print results
  console.log(deidentifiedItem.value);
}
deidentifyWithFpeSurrogate();

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


/**
 * Deidentify free text with fpe using surrogate.
 * Uses the Data Loss Prevention API to de-identify sensitive data in a string using format-preserving
 * encryption (FPE). The encryption is performed with an unwrapped key.
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under.
 * @param string $string            The string to deidentify (will be treated as text).
 * @param string $unwrappedKey      The base64-encoded AES-256 key to use.
 * @param string $surrogateTypeName The name of the surrogate custom info type to use.
 * Can be essentially any arbitrary string, as long as it doesn't appear in your dataset otherwise.
 */
function deidentify_free_text_with_fpe_using_surrogate(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $string = 'My PHONE NUMBER IS 731997681',
    string $unwrappedKey = 'YWJjZGVmZ2hpamtsbW5vcA==',
    string $surrogateTypeName = 'PHONE_TOKEN'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Specify an unwrapped crypto key.
    $unwrapped = (new UnwrappedCryptoKey())
        ->setKey(base64_decode($unwrappedKey));

    $cryptoKey = (new CryptoKey())
        ->setUnwrapped($unwrapped);

    // Create the surrogate type configuration object.
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    // The set of characters to replace sensitive ones with.
    // For more information, see https://cloud.google.com/dlp/docs/reference/rest/V2/organizations.deidentifyTemplates#ffxcommonnativealphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Specify how to decrypt the previously de-identified information.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    // The infoTypes of information to mask.
    $infoType = (new InfoType())
        ->setName('PHONE_NUMBER');
    $infoTypes = [$infoType];

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes($infoTypes);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the deidentification configuration object.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Specify the content to be de-identify.
    $content = (new ContentItem())
        ->setValue($string);

    // Create the configuration object.
    $inspectConfig = (new InspectConfig())
        /* Construct the inspect config, trying to finding all PII with likelihood
        higher than UNLIKELY */
        ->setMinLikelihood(likelihood::UNLIKELY)
        ->setInfoTypes($infoTypes);

    // Run request.
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content)
        ->setInspectConfig($inspectConfig);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import base64

import google.cloud.dlp


def deidentify_free_text_with_fpe_using_surrogate(
    project: str,
    input_str: str,
    alphabet: str = "NUMERIC",
    info_type: str = "PHONE_NUMBER",
    surrogate_type: str = "PHONE_TOKEN",
    unwrapped_key: str = "YWJjZGVmZ2hpamtsbW5vcA==",
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
       string using Format Preserving Encryption (FPE).
       The encryption is performed with an unwrapped key.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
        info_type: The name of the info type to de-identify
        surrogate_type: The name of the surrogate custom info type to use. Can
            be essentially any arbitrary string, as long as it doesn't appear
            in your dataset otherwise.
        unwrapped_key: The base64-encoded AES-256 key to use.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    unwrapped_key = base64.b64decode(unwrapped_key)

    # Construct de-identify config
    transformation = {
        "info_types": [{"name": info_type}],
        "primitive_transformation": {
            "crypto_replace_ffx_fpe_config": {
                "crypto_key": {"unwrapped": {"key": unwrapped_key}},
                "common_alphabet": alphabet,
                "surrogate_info_type": {"name": surrogate_type},
            }
        },
    }

    deidentify_config = {
        "info_type_transformations": {"transformations": [transformation]}
    }

    # Construct the inspect config, trying to finding all PII with likelihood
    # higher than UNLIKELY
    inspect_config = {
        "info_types": [{"name": info_type}],
        "min_likelihood": google.cloud.dlp_v2.Likelihood.UNLIKELY,
    }

    # Convert string to item
    item = {"value": input_str}

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(response.item.value)

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class DeidentifyFreeTextWithFpeUsingSurrogate
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        string unwrappedKey,
        IEnumerable<InfoType> infoTypes = null,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        InfoType surrogateType = null)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Specify the type of info to be inspected and construct the inspect config.
        var inspectConfig = new InspectConfig
        {
            InfoTypes =
            {
                infoTypes ?? new InfoType[]
                {
                    new InfoType { Name = "PHONE_NUMBER" }
                }
            },
            MinLikelihood = Likelihood.Unlikely
        };

        // Construct the crypto replace ffxfpe config by providing the unwrapped crypto key.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CommonAlphabet = alphabet,
            CryptoKey = new CryptoKey
            {
                Unwrapped = new UnwrappedCryptoKey
                {
                    Key = ByteString.FromBase64(unwrappedKey)
                }
            },
            SurrogateInfoType = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" }
        };

        // Construct the deidentify config using crypto config created above.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig
                        }
                    }
                }
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        DeidentifyContentResponse response = dlp.DeidentifyContent(request);

        // Check the de-identified content.
        Console.WriteLine($"De-identified content: {response.Item.Value}");
        return response;
    }
}

Ejemplos de encriptación de preservación de formato: desidentificación de datos sensibles en tablas

En este ejemplo, se usa el método de transformación CryptoReplaceFfxFpeConfig para desidentificar los datos sensibles en las tablas. Para obtener más información, consulta Encriptación de preservación de formato en esta página.

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class DeidentifyTableWithFpe
{
    public static Table DeidentifyTable(
        string projectId,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        Table tableToInspect = null)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Construct the table if null.
        if (tableToInspect == null)
        {
            var row1 = new Value[]
            {
                new Value { StringValue = "11111" },
                new Value { StringValue = "2015" },
                new Value { StringValue = "$10" }
            };
            var row2 = new Value[]
            {
                new Value { StringValue = "33333" },
                new Value { StringValue = "2016" },
                new Value { StringValue = "$20" }
            };
            var row3 = new Value[]
            {
                new Value { StringValue = "22222" },
                new Value { StringValue = "2016" },
                new Value { StringValue = "$15" }
            };

            tableToInspect = new Table
            {
                Headers =
                {
                    new FieldId { Name = "Employee ID" },
                    new FieldId { Name = "Date" },
                    new FieldId { Name = "Compensation" }
                },
                Rows =
                {
                    new Table.Types.Row { Values = { row1 } },
                    new Table.Types.Row { Values = { row2 } },
                    new Table.Types.Row { Values = { row3 } }
                }
            };
        }

        // Provide the table and construct the content item.
        var contentItem = new ContentItem { Table = tableToInspect };

        // Specify an encrypted AES-256 key and the name of the Cloud KMS Key that
        // encrypted it and specify how it should be encrypted.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            CommonAlphabet = alphabet
        };

        // Specify fields to be encrypted.
        var fields = new FieldId[] { new FieldId { Name = "Employee ID" } };

        // Construct the deidentify config using crypto replace config created above.
        var deidentifyConfig = new DeidentifyConfig
        {
            RecordTransformations = new RecordTransformations
            {
                FieldTransformations =
                {
                    new FieldTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig
                        },
                        Fields = { fields }
                    }
                }
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            Item = contentItem,
        };

        // Call the API.
        DeidentifyContentResponse response = dlp.DeidentifyContent(request);

        // Inspect the response.
        Console.WriteLine(response.Item.Table);

        return response.Item.Table;
    }
}

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyTableFPE de-identifies table data with format preserving encryption.
func deidentifyTableFPE(w io.Writer, projectID string, kmsKeyName, wrappedAESKey string) error {
	// projectId := "your-project-id"
	/* keyFileName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// wrappedAESKey := "YOUR_ENCRYPTED_AES_256_KEY"

	// define your table.
	row1 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "11111"}},
			{Type: &dlppb.Value_StringValue{StringValue: "2015"}},
			{Type: &dlppb.Value_StringValue{StringValue: "$10"}},
		},
	}

	row2 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "22222"}},
			{Type: &dlppb.Value_StringValue{StringValue: "2016"}},
			{Type: &dlppb.Value_StringValue{StringValue: "$20"}},
		},
	}

	row3 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "33333"}},
			{Type: &dlppb.Value_StringValue{StringValue: "2016"}},
			{Type: &dlppb.Value_StringValue{StringValue: "$15"}},
		},
	}

	table := &dlppb.Table{
		Headers: []*dlppb.FieldId{
			{Name: "Employee ID"},
			{Name: "Date"},
			{Name: "Compensation"},
		},
		Rows: []*dlppb.Table_Row{
			{Values: row1.Values},
			{Values: row2.Values},
			{Values: row3.Values},
		},
	}

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify what content you want the service to de-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Table{
			Table: table,
		},
	}

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsKeyDecode, err := base64.StdEncoding.DecodeString(wrappedAESKey)
	if err != nil {
		return fmt.Errorf("error in decoding key: %w", err)
	}

	kmsWrappedCryptoKey := &dlppb.KmsWrappedCryptoKey{
		WrappedKey:    kmsKeyDecode,
		CryptoKeyName: kmsKeyName,
	}

	cryptoKey := &dlppb.CryptoKey_KmsWrapped{
		KmsWrapped: kmsWrappedCryptoKey,
	}

	// Specify how the content should be encrypted.
	cryptoReplaceFfxFpeConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: cryptoKey,
		},
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_NUMERIC,
		},
	}

	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
			CryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
		},
	}

	// Specify field to be encrypted.
	fieldId := &dlppb.FieldId{
		Name: "Employee ID",
	}

	// Associate the encryption with the specified field.
	fieldTransformation := &dlppb.FieldTransformation{
		Fields: []*dlppb.FieldId{
			fieldId,
		},
		Transformation: &dlppb.FieldTransformation_PrimitiveTransformation{
			PrimitiveTransformation: primitiveTransformation,
		},
	}

	transformations := &dlppb.RecordTransformations{
		FieldTransformations: []*dlppb.FieldTransformation{
			fieldTransformation,
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_RecordTransformations{
				RecordTransformations: transformations,
			},
		},
		Item: contentItem,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the results.
	fmt.Fprintf(w, "De-identify Table after format-preserving encryption : %+v", resp.GetItem().GetTable())
	return nil
}

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.FieldId;
import com.google.privacy.dlp.v2.FieldTransformation;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.Table.Row;
import com.google.privacy.dlp.v2.Value;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class DeIdentifyTableWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    Table tableToDeIdentify =
        Table.newBuilder()
            .addHeaders(FieldId.newBuilder().setName("Employee ID").build())
            .addHeaders(FieldId.newBuilder().setName("Date").build())
            .addHeaders(FieldId.newBuilder().setName("Compensation").build())
            .addRows(
                Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("11111").build())
                    .addValues(Value.newBuilder().setStringValue("2015").build())
                    .addValues(Value.newBuilder().setStringValue("$10").build())
                    .build())
            .addRows(
                Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("22222").build())
                    .addValues(Value.newBuilder().setStringValue("2016").build())
                    .addValues(Value.newBuilder().setStringValue("$20").build())
                    .build())
            .addRows(
                Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("33333").build())
                    .addValues(Value.newBuilder().setStringValue("2016").build())
                    .addValues(Value.newBuilder().setStringValue("$15").build())
                    .build())
            .build();
    deIdentifyTableWithFpe(projectId, tableToDeIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void deIdentifyTableWithFpe(
      String projectId, Table tableToDeIdentify, String kmsKeyName, String wrappedAesKey)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to de-identify.
      ContentItem contentItem = ContentItem.newBuilder().setTable(tableToDeIdentify).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how the content should be encrypted.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();

      // Specify field to be encrypted.
      FieldId fieldId = FieldId.newBuilder().setName("Employee ID").build();

      // Associate the encryption with the specified field.
      FieldTransformation fieldTransformation =
          FieldTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .addFields(fieldId)
              .build();
      RecordTransformations transformations =
          RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setRecordTransformations(transformations).build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results.
      System.out.println(
          "Table after format-preserving encryption: " + response.getItem().getTable());
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// Table to de-identify
const tablularData = {
  headers: [{name: 'Employee ID'}, {name: 'Date'}, {name: 'Compensation'}],
  rows: [
    {
      values: [
        {stringValue: '11111'},
        {stringValue: '2015'},
        {stringValue: '$10'},
      ],
    },
    {
      values: [
        {stringValue: '22222'},
        {stringValue: '2016'},
        {stringValue: '$20'},
      ],
    },
    {
      values: [
        {stringValue: '33333'},
        {stringValue: '2016'},
        {stringValue: '$15'},
      ],
    },
  ],
};

async function deidentifyTableWithFpe() {
  // Specify field to be encrypted.
  const fieldIds = [{name: 'Employee ID'}];

  // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
  const cryptoKeyConfig = {
    kmsWrapped: {
      wrappedKey: wrappedKey,
      cryptoKeyName: keyName,
    },
  };

  // Specify how the content should be encrypted.
  const cryptoReplaceFfxFpeConfig = {
    cryptoKey: cryptoKeyConfig,
    commonAlphabet: alphabet,
  };

  // Associate the encryption with the specified field.
  const fieldTransformations = [
    {
      fields: fieldIds,
      primitiveTransformation: {
        cryptoReplaceFfxFpeConfig,
      },
    },
  ];

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      recordTransformations: {
        fieldTransformations,
      },
    },
    item: {
      table: tablularData,
    },
  };

  // Send the request and receive response from the service.
  const [response] = await dlp.deidentifyContent(request);

  // Print the results.
  console.log(
    `Table after de-identification: ${JSON.stringify(response.item.table)}`
  );
}
await deidentifyTableWithFpe();

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\FieldTransformation;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\Value;

/**
 * De-identify table data with format-preserving encryption.
 * Demonstrates encrypting sensitive data in a table while maintaining format.
 *

 * @param string $callingProjectId      The Google Cloud project id to use as a parent resource.
 * @param string $inputCsvFile          The input file(csv) path  to deidentify.
 * @param string $outputCsvFile         The oupt file path to save deidentify content.
 * @param string $encryptedFieldNames   The field to be encrypted.
 * @param string $kmsKeyName            The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
 * Example: key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
 * @param string $wrappedAesKey         The encrypted ('wrapped') AES-256 key to use.

 * */

function deidentify_table_fpe(
    string $callingProjectId,
    string $inputCsvFile,
    string $outputCsvFile,
    string $encryptedFieldNames,
    string $kmsKeyName,
    string $wrappedAesKey
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Read a CSV file.
    $csvLines = file($inputCsvFile, FILE_IGNORE_NEW_LINES);
    $csvHeaders = explode(',', $csvLines[0]);
    $csvRows = array_slice($csvLines, 1);

    // Convert CSV file into protobuf objects.
    $tableHeaders = array_map(function ($csvHeader) {
        return (new FieldId)
            ->setName($csvHeader);
    }, $csvHeaders);

    $tableRows = array_map(function ($csvRow) {
        $rowValues = array_map(function ($csvValue) {
            return (new Value())
                ->setStringValue($csvValue);
        }, explode(',', $csvRow));
        return (new Row())
            ->setValues($rowValues);
    }, $csvRows);

    // Construct the table object.
    $tableToDeIdentify = (new Table())
        ->setHeaders($tableHeaders)
        ->setRows($tableRows);

    // Specify the content to be de-identify.
    $content = (new ContentItem())
        ->setTable($tableToDeIdentify);

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedAesKey))
        ->setCryptoKeyName($kmsKeyName);

    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Specify how the content should be encrypted.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet(FfxCommonNativeAlphabet::NUMERIC);

    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    // Specify field to be encrypted.
    $encryptedFields = array_map(function ($encryptedFieldName) {
        return (new FieldId())
            ->setName($encryptedFieldName);
    }, explode(',', $encryptedFieldNames));

    // Associate the encryption with the specified field.
    $fieldTransformation = (new FieldTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setFields($encryptedFields);

    $recordtransformations = (new RecordTransformations())
        ->setFieldTransformations([$fieldTransformation]);

    $deidentifyConfig = (new DeidentifyConfig())
        ->setRecordTransformations($recordtransformations);

    // Run request.
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results.
    $csvRef = fopen($outputCsvFile, 'w');
    fputcsv($csvRef, $csvHeaders);
    foreach ($response->getItem()->getTable()->getRows() as $tableRow) {
        $values = array_map(function ($tableValue) {
            return $tableValue->getStringValue();
        }, iterator_to_array($tableRow->getValues()));
        fputcsv($csvRef, $values);
    };
    printf('Table after format-preserving encryption (File Location): %s', $outputCsvFile);
}

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

from typing import List

import google.cloud.dlp


def deidentify_table_with_fpe(
    project: str,
    table_header: List[str],
    table_rows: List[List[str]],
    deid_field_names: List[str],
    key_name: str = None,
    wrapped_key: bytes = None,
    alphabet: str = None,
) -> None:
    """Uses the Data Loss Prevention API to de-identify sensitive data in a
      table while maintaining format.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        table_header: List of strings representing table field names.
        table_rows: List of rows representing table data.
        deid_field_names: A list of fields in table to de-identify.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The decrypted ('wrapped', in bytes) AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2/projects.deidentifyTemplates#ffxcommonnativealphabet
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Construct the `table`. For more details on the table schema, please see
    # https://cloud.google.com/dlp/docs/reference/rest/v2/ContentItem#Table
    headers = [{"name": val} for val in table_header]
    rows = []
    for row in table_rows:
        rows.append({"values": [{"string_value": cell_val} for cell_val in row]})

    table = {"headers": headers, "rows": rows}

    # Construct the `item` for table.
    item = {"table": table}

    # Specify fields to be de-identified.
    deid_field_names = [{"name": _i} for _i in deid_field_names]

    # Construct FPE configuration dictionary
    crypto_replace_ffx_fpe_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name},
        },
        "common_alphabet": alphabet,
    }

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "record_transformations": {
            "field_transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": crypto_replace_ffx_fpe_config
                    },
                    "fields": deid_field_names,
                }
            ]
        }
    }

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API.
    response = dlp.deidentify_content(
        request={"parent": parent, "deidentify_config": deidentify_config, "item": item}
    )

    # Print out results.
    print(f"Table after de-identification: {response.item.table}")

Ejemplos de encriptación de preservación de formato: reidentificación

A continuación, se muestra el código de muestra en varios lenguajes que demuestra cómo usar la Protección de datos sensibles para volver a identificar datos sensibles que se desidentificaron a través del método de transformación CryptoReplaceFfxFpeConfig. Para obtener más información, consulta Encriptación de preservación de formato en esta página.

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// reidentifyFPE reidentifies the input with FPE (Format Preserving Encryption).
// keyFileName is the file name with the KMS wrapped key and cryptoKeyName is the
// full KMS key resource name used to wrap the key. surrogateInfoType is an
// the identifier used during deidentification.
// Info types can be found with the infoTypes.list method or on https://cloud.google.com/dlp/docs/infotypes-reference
func reidentifyFPE(w io.Writer, projectID, input, kmsKeyName, wrappedAesKey, surrogateInfoType string) error {
	// projectID := "my-project-id"
	// input := "My SSN is 123456789"
	// keyFileName := "projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME"
	// cryptoKeyName := "YOUR_ENCRYPTED_AES_256_KEY"
	// surrogateInfoType := "AGE"
	ctx := context.Background()
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}
	defer client.Close()

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsWrappedCryptoKey, err := base64.StdEncoding.DecodeString(wrappedAesKey)
	if err != nil {
		fmt.Fprintf(w, "error %v", err)
		return err
	}

	// Specify the crypto key configuration that will used for encryption.
	cryptoKey := &dlppb.CryptoKey{
		Source: &dlppb.CryptoKey_KmsWrapped{
			KmsWrapped: &dlppb.KmsWrappedCryptoKey{
				WrappedKey:    kmsWrappedCryptoKey,
				CryptoKeyName: kmsKeyName,
			},
		},
	}

	// Create a configured request.
	req := &dlppb.ReidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: &dlppb.InfoTypeTransformations{
					Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
						{
							InfoTypes: []*dlppb.InfoType{},
							PrimitiveTransformation: &dlppb.PrimitiveTransformation{
								Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
									CryptoReplaceFfxFpeConfig: &dlppb.CryptoReplaceFfxFpeConfig{
										CryptoKey: cryptoKey,
										// Set the alphabet used for the encrypted fields.
										Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
											CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_ALPHA_NUMERIC,
										},
										// Set the surrogate info type used during deidentification.
										SurrogateInfoType: &dlppb.InfoType{
											Name: surrogateInfoType,
										},
									},
								},
							},
						},
					},
				},
			},
		},
		// The InspectConfig must identify the surrogate info type to reidentify.
		InspectConfig: &dlppb.InspectConfig{
			CustomInfoTypes: []*dlppb.CustomInfoType{
				{
					InfoType: &dlppb.InfoType{
						Name: surrogateInfoType,
					},
					Type: &dlppb.CustomInfoType_SurrogateType_{
						SurrogateType: &dlppb.CustomInfoType_SurrogateType{},
					},
				},
			},
		},
		// The item to analyze.
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: input,
			},
		},
	}
	// Send the request.
	r, err := client.ReidentifyContent(ctx, req)
	if err != nil {
		return fmt.Errorf("ReidentifyContent: %w", err)
	}
	// Print the result.
	fmt.Fprint(w, r.GetItem().GetValue())
	return nil
}

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.CustomInfoType.SurrogateType;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class ReIdentifyWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToReIdentify = "My SSN is SSN_TOKEN(9):731997681";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    reIdentifyWithFpe(projectId, textToReIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void reIdentifyWithFpe(
      String projectId, String textToReIdentify, String kmsKeyName, String wrappedAesKey)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to re-identify
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToReIdentify).build();

      // Specify the type of info the inspection will re-identify. This must use the same custom
      // into type that was used as a surrogate during the initial encryption.
      InfoType surrogateInfoType = InfoType.newBuilder().setName("SSN_TOKEN").build();

      CustomInfoType customInfoType =
          CustomInfoType.newBuilder()
              .setInfoType(surrogateInfoType)
              .setSurrogateType(SurrogateType.getDefaultInstance())
              .build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addCustomInfoTypes(customInfoType).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how to un-encrypt the previously de-identified information
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();
      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .addInfoTypes(surrogateInfoType)
              .build();
      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig reidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      ReidentifyContentRequest request =
          ReidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setReidentifyConfig(reidentifyConfig)
              .build();

      // Send the request and receive response from the service
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results
      System.out.println("Text after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to reidentify
// const string = 'My SSN is PHONE_TOKEN(9):#########';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'ALPHA_NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use when reidentifying data
// const surrogateType = 'SOME_INFO_TYPE_DEID';

async function reidentifyWithFpe() {
  // Construct deidentification request
  const item = {value: string};
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              cryptoReplaceFfxFpeConfig: {
                cryptoKey: {
                  kmsWrapped: {
                    wrappedKey: wrappedKey,
                    cryptoKeyName: keyName,
                  },
                },
                commonAlphabet: alphabet,
                surrogateInfoType: {
                  name: surrogateType,
                },
              },
            },
          },
        ],
      },
    },
    inspectConfig: {
      customInfoTypes: [
        {
          infoType: {
            name: surrogateType,
          },
          surrogateType: {},
        },
      ],
    },
    item: item,
  };

  // Run reidentification request
  const [response] = await dlp.reidentifyContent(request);
  const reidentifiedItem = response.item;
  console.log(reidentifiedItem.value);
}
reidentifyWithFpe();

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\SurrogateType;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReidentifyContentRequest;

/**
 * Reidentify a deidentified string using Format-Preserving Encryption (FPE).
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under
 * @param string $string            The string to reidentify
 * @param string $keyName           The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key
 * @param string $wrappedKey        The name of the Cloud KMS key use, encrypted with the KMS key in $keyName
 * @param string $surrogateTypeName (Optional) Surrogate custom info type to enable reidentification
 */
function reidentify_fpe(
    string $callingProjectId,
    string $string,
    string $keyName,
    string $wrappedKey,
    string $surrogateTypeName
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // The infoTypes of information to mask
    $ssnInfoType = (new InfoType())
        ->setName('US_SOCIAL_SECURITY_NUMBER');
    $infoTypes = [$ssnInfoType];

    // The set of characters to replace sensitive ones with
    // For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Create the wrapped crypto key configuration object
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedKey))
        ->setCryptoKeyName($keyName);

    // Create the crypto key configuration object
    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Create the surrogate type object
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    $customInfoType = (new CustomInfoType())
        ->setInfoType($surrogateType)
        ->setSurrogateType(new SurrogateType());

    // Create the crypto FFX FPE configuration object
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the inspect configuration object
    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType]);

    // Create the reidentification configuration object
    $reidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    $item = (new ContentItem())
        ->setValue($string);

    $parent = "projects/$callingProjectId/locations/global";

    // Run request
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($item);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results
    $reidentifiedValue = $response->getItem()->getValue();
    print($reidentifiedValue);
}

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import base64

import google.cloud.dlp


def reidentify_with_fpe(
    project: str,
    input_str: str,
    alphabet: str = None,
    surrogate_type: str = None,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """Uses the Data Loss Prevention API to reidentify sensitive data in a
    string that was encrypted by Format Preserving Encryption (FPE).
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
        surrogate_type: The name of the surrogate custom info type to used
            during the encryption process.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Construct Deidentify Config
    reidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": {
                            "crypto_key": {
                                "kms_wrapped": {
                                    "wrapped_key": wrapped_key,
                                    "crypto_key_name": key_name,
                                }
                            },
                            "common_alphabet": alphabet,
                            "surrogate_info_type": {"name": surrogate_type},
                        }
                    }
                }
            ]
        }
    }

    inspect_config = {
        "custom_info_types": [
            {"info_type": {"name": surrogate_type}, "surrogate_type": {}}
        ]
    }

    # Convert string to item
    item = {"value": input_str}

    # Call the API
    response = dlp.reidentify_content(
        request={
            "parent": parent,
            "reidentify_config": reidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(response.item.value)

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class ReidentifyContentUsingFpe
{
    public static ReidentifyContentResponse ReidentifyContent(
        string projectId,
        string text,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        InfoType surrogateType = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Specify the type of info the inspection will re-identify. This must use the same custom
        // info type that was used as a surrogate during the initial encryption.
        var infotype = surrogateType ?? new InfoType { Name = "SSN_TOKEN" };

        // Specify how to un-encrypt the previously de-identified information.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            CommonAlphabet = alphabet,
            SurrogateInfoType = infotype
        };

        // Construct reidentify config using above created crypto replace config.
        var reidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig,
                        },
                        InfoTypes = { infotype }
                    }
                }
            }
        };

        // Construct the inspect config.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infotype,
                    SurrogateType = new CustomInfoType.Types.SurrogateType()
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            InspectConfig = inspectConfig,
            ReidentifyConfig = reidentifyConfig,
            Item = new ContentItem { Value = text },
        };

        // Call the API.
        var response = dlp.ReidentifyContent(request);

        // Inspect the response.
        Console.WriteLine($"Reidentified content: {response.Item.Value}");

        return response;
    }
}

Ejemplos de encriptación de preservación de formato: reidentificación de texto

A continuación, se muestra el código de muestra en varios lenguajes que demuestra cómo usar la Protección de datos sensibles para volver a identificar el texto sensible que se desidentificó a través del método de transformación CryptoReplaceFfxFpeConfig. Para obtener más información, consulta Encriptación de preservación de formato en esta página.

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class ReidentifyFreeTextFpe
{
    public static ReidentifyContentResponse ReidentifyContent(
        string projectId,
        string text,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        InfoType surrogateType = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct the infoType which will be used as both surrogate type and infoType.
        var infotype = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" };

        // Specify how to un-encrypt the previously de-identified information.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            CommonAlphabet = alphabet,
            SurrogateInfoType = infotype
        };

        // Construct re-identify config using the CryptoReplaceFfxFpeConfig transformation method.
        var reidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig,
                        },
                        InfoTypes = { infotype }
                    }
                }
            }
        };

        // Construct the inspect config using custom infoTypes.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infotype,
                    SurrogateType = new CustomInfoType.Types.SurrogateType()
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            InspectConfig = inspectConfig,
            ReidentifyConfig = reidentifyConfig,
            Item = new ContentItem { Value = text },
        };

        // Call the API.
        ReidentifyContentResponse response = dlp.ReidentifyContent(request);

        // Inspect the response.
        Console.WriteLine($"Reidentified content: {response.Item.Value}");

        return response;
    }
}

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// ReidTextDataWithFPE re-identifies text data with FPE
func reidTextDataWithFPE(w io.Writer, projectID, textToReidentify, kmsKeyName, wrappedAESKey, surrogateInfoType string) error {
	// projectId := "my-project-id"
	// textToReidentify := "My SSN is AGE(9):FHKByqA13"
	/* kmsKeyName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// wrappedAesKey := "YOUR_ENCRYPTED_AES_256_KEY"
	// surrogateInfoType := "AGE"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify what content you want the service to re-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: textToReidentify,
		},
	}

	// Specify the type of info the inspection will re-identify. This must use the same custom
	// into type that was used as a surrogate during the initial encryption.
	infotype := &dlppb.InfoType{
		Name: surrogateInfoType,
	}

	customInfotype := &dlppb.CustomInfoType{
		InfoType: infotype,
		Type: &dlppb.CustomInfoType_SurrogateType_{
			SurrogateType: &dlppb.CustomInfoType_SurrogateType{},
		},
	}

	inspectConfig := &dlppb.InspectConfig{
		CustomInfoTypes: []*dlppb.CustomInfoType{
			customInfotype,
		},
	}

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsWrappedCryptoKey, err := base64.StdEncoding.DecodeString(wrappedAESKey)
	if err != nil {
		return err
	}

	cryptoKey := &dlppb.CryptoKey{
		Source: &dlppb.CryptoKey_KmsWrapped{
			KmsWrapped: &dlppb.KmsWrappedCryptoKey{
				WrappedKey:    kmsWrappedCryptoKey,
				CryptoKeyName: kmsKeyName,
			},
		},
	}

	// Specify how to un-encrypt the previously de-identified information.
	cryptoReplaceFfxFpeConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: cryptoKey,
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_ALPHA_NUMERIC,
		},
		SurrogateInfoType: infotype,
	}

	primitiveTransformation := &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
		CryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
	}

	InfoTypeTransformations := &dlppb.InfoTypeTransformations{
		Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
			{
				PrimitiveTransformation: &dlppb.PrimitiveTransformation{
					Transformation: primitiveTransformation,
				},
				InfoTypes: []*dlppb.InfoType{
					infotype,
				},
			},
		},
	}

	// Combine configurations into a request for the service.
	reidentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: InfoTypeTransformations,
		},
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.ReidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: reidentifyConfig,
		Item:             contentItem,
		InspectConfig:    inspectConfig,
	}

	// Send the request.
	r, err := client.ReidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "output: %v", r.GetItem().GetValue())
	return nil
}

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.CustomInfoType.SurrogateType;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class ReIdentifyTextWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToReIdentify = "My phone number is PHONE_TOKEN(10):9617256398";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    reIdentifyTextWithFpe(projectId, textToReIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void reIdentifyTextWithFpe(
      String projectId, String textToReIdentify, String kmsKeyName, String wrappedAesKey)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to re-identify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToReIdentify).build();

      // Specify the type of info the inspection will re-identify. This must use the same custom
      // into type that was used as a surrogate during the initial encryption.
      InfoType surrogateInfoType = InfoType.newBuilder().setName("PHONE_NUMBER").build();

      CustomInfoType customInfoType =
          CustomInfoType.newBuilder()
              .setInfoType(surrogateInfoType)
              .setSurrogateType(SurrogateType.getDefaultInstance())
              .build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addCustomInfoTypes(customInfoType).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how to un-encrypt the previously de-identified information.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();
      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .addInfoTypes(surrogateInfoType)
              .build();
      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig reidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      ReidentifyContentRequest request =
          ReidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setReidentifyConfig(reidentifyConfig)
              .build();

      // Send the request and receive response from the service
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results
      System.out.println("Text after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to reidentify
// const string = 'My phone number is PHONE_TOKEN(10):9617256398';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use when reidentifying data
// const surrogateType = 'SOME_INFO_TYPE_DEID';

async function reidentifyTextWithFpe() {
  // Construct deidentification request
  const item = {value: string};

  // Construt Crypto Key Configuration
  const cryptoKeyConfig = {
    kmsWrapped: {
      wrappedKey: wrappedKey,
      cryptoKeyName: keyName,
    },
  };

  // Construct primitive transformation configuration
  const primitiveTransformation = {
    cryptoReplaceFfxFpeConfig: {
      cryptoKey: cryptoKeyConfig,
      commonAlphabet: alphabet,
      surrogateInfoType: {
        name: surrogateType,
      },
    },
  };

  // Combine configurations and construct re-identify request
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: primitiveTransformation,
          },
        ],
      },
    },
    inspectConfig: {
      customInfoTypes: [
        {
          infoType: {
            name: surrogateType,
          },
          surrogateType: {},
        },
      ],
    },
    item: item,
  };

  // Run re-identification request
  const [response] = await dlp.reidentifyContent(request);
  const reidentifiedItem = response.item;

  // Print results
  console.log(reidentifiedItem.value);
}
await reidentifyTextWithFpe();

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\SurrogateType;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReidentifyContentRequest;

/**
 * Reidentify a deidentified string using Format-Preserving Encryption (FPE).
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under.
 * @param string $string            The string to reidentify.
 * @param string $keyName           The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key.
 * @param string $wrappedKey        The name of the Cloud KMS key use, encrypted with the KMS key in $keyName.
 * @param string $surrogateTypeName Surrogate custom info type to enable reidentification.
 */
function reidentify_text_fpe(
    string $callingProjectId,
    string $string,
    string $keyName,
    string $wrappedKey,
    string $surrogateTypeName
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Specify what content you want the service to re-identify.
    $item = (new ContentItem())
        ->setValue($string);

    // Specify the type of info the inspection will re-identify. This must use the same custom
    // into type that was used as a surrogate during the initial encryption.
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    $customInfoType = (new CustomInfoType())
        ->setInfoType($surrogateType)
        ->setSurrogateType(new SurrogateType());

    // Create the inspect configuration object.
    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType]);

    // Set of characters in the input text. For more info, see
    // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedKey))
        ->setCryptoKeyName($keyName);

    // Create the crypto key configuration object.
    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Specify how to un-encrypt the previously de-identified information.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the reidentification configuration object.
    $reidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Run request.
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($item);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import base64

import google.cloud.dlp


def reidentify_text_with_fpe(
    project: str,
    input_str: str,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """
    Uses the Data Loss Prevention API to re-identify sensitive data in a
    string using Format Preserving Encryption (FPE).
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to re-identify (will be treated as text).
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Specify the type of info the inspection will re-identify.
    # This must use the same custom infoType that was used as a
    # surrogate during the initial encryption.
    surrogate_info_type = {"name": "PHONE_NUMBER"}

    # Construct FPE configuration dictionary
    crypto_replace_ffx_fpe_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name}
        },
        "common_alphabet": "NUMERIC",
        "surrogate_info_type": surrogate_info_type,
    }

    # Construct re-identify configuration dictionary
    reidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": crypto_replace_ffx_fpe_config,
                    },
                    "info_types": [surrogate_info_type],
                }
            ]
        }
    }

    # Construct inspect configuration dictionary
    inspect_config = {
        "custom_info_types": [{"info_type": surrogate_info_type, "surrogate_type": {}}]
    }

    # Construct the `item`.
    item = {"value": input_str}

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API.
    response = dlp.reidentify_content(
        request={
            "parent": parent,
            "reidentify_config": reidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(f"Text after re-identification: {response.item.value}")

Ejemplos de encriptación de preservación de formato: reidentificación con tipo subrogado

A continuación, se muestra el código de muestra en varios lenguajes que demuestran cómo usar la Protección de datos sensibles para volver a identificar los datos sensibles que se desidentificaron a través del método de transformación CryptoReplaceFfxFpeConfig. Para obtener más información, consulta Encriptación de preservación de formato en esta página.

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class ReidentifyFreeTextWithFpeUsingSurrogate
{
    public static ReidentifyContentResponse ReidentifyFreeText(
        string projectId,
        string text,
        string unwrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        InfoType surrogateType = null)
    {
        // Instantiate dlp client.
        var dlp = DlpServiceClient.Create();

        // Construct the infoType which will be used as surrogate type and infoType both.
        var infoType = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" };

        // Construct crypto replace config using crypto key name and wrapped key.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                Unwrapped = new UnwrappedCryptoKey
                {
                    Key = ByteString.FromBase64(unwrappedKey)
                }
            },
            CommonAlphabet = alphabet,
            SurrogateInfoType = infoType
        };

        // Construct the re-identify config using crypto replace config.
        var reidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig
                        }
                    }
                }
            }
        };

        // Construct the inspect config with the help of custom info type.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infoType,
                    SurrogateType = new CustomInfoType.Types.SurrogateType()
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            ReidentifyConfig = reidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        ReidentifyContentResponse response = dlp.ReidentifyContent(request);

        // Inspect the response.
        Console.WriteLine($"Re-identified content: {response.Item.Value}");
        return response;
    }
}

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// reidentifyFreeTextWithFPEUsingSurrogate re-identifies free text with FPE using surrogate
func reidentifyFreeTextWithFPEUsingSurrogate(w io.Writer, projectID, inputStr, surrogateType, unWrappedKey string) error {
	// projectId := "your-project-id"
	// inputStr := "My phone number is PHONE_TOKEN(10):4068372189"
	// surrogateType := "PHONE_TOKEN"
	// unWrappedKey := "hXribiHR6kvVKmj5ptTZLRTj8+u0eBQzwcrEPwyGhe8="

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// The wrapped key is base64-encoded, but the library expects a binary
	// string, so decode it here.
	keyBytes, err := base64.StdEncoding.DecodeString(unWrappedKey)
	if err != nil {
		return err
	}

	// using the unwrapped key and surrogate info type construct cryptoReplaceConfig
	cryptoReplaceConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: &dlppb.CryptoKey_Unwrapped{
				Unwrapped: &dlppb.UnwrappedCryptoKey{
					Key: keyBytes,
				},
			},
		},
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_NUMERIC,
		},
		SurrogateInfoType: &dlppb.InfoType{
			Name: surrogateType,
		},
	}

	// construct infoType transformations
	infoTypeTransformations := &dlppb.InfoTypeTransformations{
		Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
			{
				PrimitiveTransformation: &dlppb.PrimitiveTransformation{
					Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
						CryptoReplaceFfxFpeConfig: cryptoReplaceConfig,
					},
				},
			},
		},
	}

	// construct re-identify config
	reIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: infoTypeTransformations,
		},
	}

	// construct inspect config to pass in req
	inspectConfig := &dlppb.InspectConfig{
		CustomInfoTypes: []*dlppb.CustomInfoType{
			{
				InfoType: &dlppb.InfoType{
					Name: surrogateType,
				},
				Type: &dlppb.CustomInfoType_SurrogateType_{
					SurrogateType: &dlppb.CustomInfoType_SurrogateType{},
				},
			},
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.ReidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: reIdentifyConfig,
		InspectConfig:    inspectConfig,
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: inputStr,
			},
		},
	}

	// Send the request.
	r, err := client.ReidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "output: %v", r.GetItem().GetValue())
	return nil
}

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.privacy.dlp.v2.UnwrappedCryptoKey;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.Base64;
import javax.crypto.KeyGenerator;
import javax.crypto.SecretKey;

public class ReidentifyFreeTextWithFpeUsingSurrogate {
  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.

    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The string to de-identify.
    String textToDeIdentify = "My phone number is 4359916731";
    // The base64-encoded AES-256 key to use.
    String base64EncodedKey = "your-base64-encoded-key";

    // Obtain the de-identified text.
    String textToReIdentify =
        DeidentifyFreeTextWithFpeUsingSurrogate.deIdentifyWithFpeSurrogate(
            projectId, textToDeIdentify, base64EncodedKey);

    reIdentifyWithFpeSurrogate(projectId, textToReIdentify, base64EncodedKey);
  }

  // Re-identifies sensitive data in a string that was encrypted by Format Preserving Encryption
  // (FPE) with surrogate type.
  public static void reIdentifyWithFpeSurrogate(
      String projectId, String textToReIdentify, String unwrappedKey) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to re-identify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToReIdentify).build();
      CustomInfoType.SurrogateType surrogateType =
          CustomInfoType.SurrogateType.newBuilder().build();

      // Specify the surrogate type used at time of de-identification.
      InfoType surrogateInfoType = InfoType.newBuilder().setName("PHONE_TOKEN").build();

      CustomInfoType customInfoType =
          CustomInfoType.newBuilder()
              .setInfoType(surrogateInfoType)
              .setSurrogateType(surrogateType)
              .build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addCustomInfoTypes(customInfoType).build();

      // Specify an unwrapped crypto key.
      UnwrappedCryptoKey unwrappedCryptoKey =
          UnwrappedCryptoKey.newBuilder()
              .setKey(ByteString.copyFrom(BaseEncoding.base64().decode(unwrappedKey)))
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setUnwrapped(unwrappedCryptoKey).build();

      // Specify how to decrypt the previously de-identified information.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();

      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();

      InfoTypeTransformations.InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformations.InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig reidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      ReidentifyContentRequest request =
          ReidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setReidentifyConfig(reidentifyConfig)
              .build();
      // Send the request and receive response from the service.
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results.
      System.out.println("Text after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to Re-identify
// const string = 'PHONE_TOKEN(10):########';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'NUMERIC';

// InfoTypes
// const infoTypes = [{name: 'PHONE_NUMBER'}];

// Surrogate Type
// const surrogateType = 'PHONE_TOKEN';

// The base64-encoded AES-256 key to use
// const unwrappedKey = 'YWJjZGVmZ2hpamtsbW5vcA==';

async function reidentifyWithFpeSurrogate() {
  // Specify an unwrapped crypto key.
  unwrappedKey = Buffer.from(unwrappedKey, 'base64');

  // Specify how the info from the inspection should be encrypted.
  const cryptoReplaceFfxFpeConfig = {
    cryptoKey: {
      unwrapped: {
        key: unwrappedKey,
      },
    },
    commonAlphabet: alphabet,
    surrogateInfoType: {name: surrogateType},
  };

  // Construct the inspect configuration.
  const inspectConfig = {
    customInfoTypes: [
      {
        infoType: {
          name: surrogateType,
        },
        surrogateType: {},
      },
    ],
  };

  // Set the text to be re-identified.
  const item = {value: string};

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              cryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
            },
          },
        ],
      },
    },
    item: item,
    inspectConfig: inspectConfig,
  };
  // Run re-identification request
  const [response] = await dlp.reidentifyContent(request);
  const reidentifiedItem = response.item;
  // Print results
  console.log(reidentifiedItem.value);
}
reidentifyWithFpeSurrogate();

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


/**
 * Re-identify free text with FPE using a surrogate.
 * Uses the Cloud Data Loss Prevention API to re-identify sensitive data in a string that was
 * encrypted by format-preserving encryption (FPE) with a surrogate type. The encryption is
 * performed with an unwrapped key.
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under.
 * @param string $string            The string to reidentify.
 * @param string $unwrappedKey      The base64-encoded AES-256 key to use.
 * @param string $surrogateTypeName The name of the surrogate custom info type to used during
 * the encryption process.
 */
function reidentify_free_text_with_fpe_using_surrogate(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $string,
    string $unwrappedKey = 'YWJjZGVmZ2hpamtsbW5vcA==',
    string $surrogateTypeName = 'PHONE_TOKEN'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Specify an unwrapped crypto key.
    $unwrapped = (new UnwrappedCryptoKey())
        ->setKey(base64_decode($unwrappedKey));

    $cryptoKey = (new CryptoKey())
        ->setUnwrapped($unwrapped);

    // Specify the surrogate type used at time of de-identification.
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    // The set of characters to replace sensitive ones with.
    // For more information, see https://cloud.google.com/dlp/docs/reference/rest/V2/organizations.deidentifyTemplates#ffxcommonnativealphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Specify how to decrypt the previously de-identified information.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the reidentification configuration object.
    $reidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Create the inspect configuration object.
    // Specify the type of info the inspection will look for.
    $infotype = (new InfoType())
        ->setName($surrogateTypeName);

    $customInfoType = (new CustomInfoType())
        ->setInfoType($infotype)
        ->setSurrogateType((new SurrogateType()));

    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType]);

    // Specify the content to be re-identify.
    $content = (new ContentItem())
        ->setValue($string);

    // Run request.
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($content);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import base64

import google.cloud.dlp


def reidentify_free_text_with_fpe_using_surrogate(
    project: str,
    input_str: str,
    alphabet: str = "NUMERIC",
    surrogate_type: str = "PHONE_TOKEN",
    unwrapped_key: str = "YWJjZGVmZ2hpamtsbW5vcA==",
) -> None:
    """Uses the Data Loss Prevention API to reidentify sensitive data in a
    string that was encrypted by Format Preserving Encryption (FPE) with
    surrogate type. The encryption is performed with an unwrapped key.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
        surrogate_type: The name of the surrogate custom info type to used
            during the encryption process.
        unwrapped_key: The base64-encoded AES-256 key to use.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    unwrapped_key = base64.b64decode(unwrapped_key)

    # Construct Deidentify Config
    transformation = {
        "primitive_transformation": {
            "crypto_replace_ffx_fpe_config": {
                "crypto_key": {"unwrapped": {"key": unwrapped_key}},
                "common_alphabet": alphabet,
                "surrogate_info_type": {"name": surrogate_type},
            }
        }
    }

    reidentify_config = {
        "info_type_transformations": {"transformations": [transformation]}
    }

    inspect_config = {
        "custom_info_types": [
            {"info_type": {"name": surrogate_type}, "surrogate_type": {}}
        ]
    }

    # Convert string to item
    item = {"value": input_str}

    # Call the API
    response = dlp.reidentify_content(
        request={
            "parent": parent,
            "reidentify_config": reidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(response.item.value)

Ejemplos de encriptación de preservación de formato: reidentificación de datos sensibles en tablas

A continuación, se muestra el código de muestra en varios lenguajes que demuestran cómo usar la Protección de datos sensibles para volver a identificar datos sensibles en tablas que se desidentificaron a través del método de transformación CryptoReplaceFfxFpeConfig. Para obtener más información, consulta Encriptación de preservación de formato en esta página.

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class ReidentifyTableDataWithFpe
{
    public static Table ReidentifyTableData(
        string projectId,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        Table tableToInspect = null)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Construct the table if null.
        var table = tableToInspect;

        if (table == null)
        {
            var row1 = new Value[]
            {
                new Value { StringValue = "28777" },
                new Value { StringValue = "Justin" }
            };
            var row2 = new Value[]
            {
                new Value { StringValue = "28778" },
                new Value { StringValue = "Gary" }
            };

            table = new Table
            {
                Headers =
                {
                    new FieldId { Name = "Employee ID" },
                    new FieldId { Name = "Employee Name" }
                },
                Rows =
                {
                    new Table.Types.Row { Values = { row1 } },
                    new Table.Types.Row { Values = { row2 } }
                }
            };
        }

        // Construct the content item by providing the table.
        var contentItem = new ContentItem { Table = table };

        // Specify how to decrypt the previously de-identified information.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            CommonAlphabet = alphabet
        };

        // Specify the field to be decrypted.
        var fields = new FieldId[] { new FieldId { Name = "Employee ID" } };

        // Construct the re-identify config and specify the transformation.
        var reidentifyConfig = new DeidentifyConfig
        {
            RecordTransformations = new RecordTransformations
            {
                FieldTransformations =
                {
                    new FieldTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig,
                        },
                        Fields = { fields }
                    }
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = contentItem,
            ReidentifyConfig = reidentifyConfig
        };

        // Call the API.
        ReidentifyContentResponse response = dlp.ReidentifyContent(request);

        // Inspect the response.
        Console.WriteLine($"Table after re-identification: {response.Item.Table}");

        return response.Item.Table;
    }
}

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// reidTableDataWithFPE re-identifies table data with FPE
func reidTableDataWithFPE(w io.Writer, projectID, kmsKeyName, wrappedAesKey string) error {
	// projectId := "my-project-id"
	/* kmsKeyName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// wrappedAesKey := "YOUR_ENCRYPTED_AES_256_KEY"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify the table data that needs to be re-identified.
	tableToReIdentify := &dlppb.Table{
		Headers: []*dlppb.FieldId{
			{Name: "Employee ID"},
		},
		Rows: []*dlppb.Table_Row{
			{
				Values: []*dlppb.Value{
					{
						Type: &dlppb.Value_StringValue{
							StringValue: "90511",
						},
					},
				},
			},
		},
	}

	// Specify the content you want to re-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Table{
			Table: tableToReIdentify,
		},
	}

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsWrappedCryptoKey, err := base64.StdEncoding.DecodeString(wrappedAesKey)
	if err != nil {
		return err
	}

	cryptoKey := &dlppb.CryptoKey{
		Source: &dlppb.CryptoKey_KmsWrapped{
			KmsWrapped: &dlppb.KmsWrappedCryptoKey{
				WrappedKey:    kmsWrappedCryptoKey,
				CryptoKeyName: kmsKeyName,
			},
		},
	}

	// Specify how to un-encrypt the previously de-identified information.
	cryptoReplaceFfxFpeConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: cryptoKey,
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_NUMERIC,
		},
	}

	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
			CryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
		},
	}

	// Specify field to be decrypted.
	fieldId := &dlppb.FieldId{
		Name: "Employee ID",
	}

	// Associate the decryption with the specified field.
	fieldTransformation := &dlppb.FieldTransformation{
		Transformation: &dlppb.FieldTransformation_PrimitiveTransformation{
			PrimitiveTransformation: primitiveTransformation,
		},
		Fields: []*dlppb.FieldId{
			fieldId,
		},
	}

	recordTransformations := &dlppb.RecordTransformations{
		FieldTransformations: []*dlppb.FieldTransformation{
			fieldTransformation,
		},
	}

	deidentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_RecordTransformations{
			RecordTransformations: recordTransformations,
		},
	}

	// Combine configurations into a request for the service.
	req := &dlppb.ReidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: deidentifyConfig,
		Item:             contentItem,
	}

	// Send the request and receive response from the service.
	resp, err := client.ReidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "Table after re-identification : %v", resp.GetItem().GetTable())
	return nil
}

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.FieldId;
import com.google.privacy.dlp.v2.FieldTransformation;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.Table.Row;
import com.google.privacy.dlp.v2.Value;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class ReIdentifyTableWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    Table tableToReIdentify =
        Table.newBuilder()
            .addHeaders(FieldId.newBuilder().setName("Employee ID").build())
            .addRows(
                Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("28777").build())
                    .build())
            .build();
    reIdentifyTableWithFpe(projectId, tableToReIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void reIdentifyTableWithFpe(
      String projectId, Table tableToReIdentify, String kmsKeyName, String wrappedAesKey)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to re-identify.
      ContentItem contentItem = ContentItem.newBuilder().setTable(tableToReIdentify).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how to un-encrypt the previously de-identified information.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();

      // Specify field to be decrypted.
      FieldId fieldId = FieldId.newBuilder().setName("Employee ID").build();

      // Associate the decryption with the specified field.
      FieldTransformation fieldTransformation =
          FieldTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .addFields(fieldId)
              .build();
      RecordTransformations transformations =
          RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build();

      DeidentifyConfig reidentifyConfig =
          DeidentifyConfig.newBuilder().setRecordTransformations(transformations).build();

      // Combine configurations into a request for the service.
      ReidentifyContentRequest request =
          ReidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setReidentifyConfig(reidentifyConfig)
              .build();

      // Send the request and receive response from the service
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results
      System.out.println("Table after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'ALPHA_NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use when reidentifying data
// const surrogateType = 'SOME_INFO_TYPE_DEID';

// Table to re-identify
const tablularData = {
  headers: [{name: 'Employee ID'}],
  rows: [{values: [{stringValue: '90511'}]}],
};

async function reidentifyTableWithFpe() {
  // Specify field to be re-identified.
  const fieldIds = [{name: 'Employee ID'}];

  // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
  const cryptoKeyConfig = {
    kmsWrapped: {
      wrappedKey: wrappedKey,
      cryptoKeyName: keyName,
    },
  };

  // Associate transformation with crypto key congurations.
  const primitiveTransformation = {
    cryptoReplaceFfxFpeConfig: {
      cryptoKey: cryptoKeyConfig,
      commonAlphabet: alphabet,
    },
  };

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      recordTransformations: {
        fieldTransformations: [
          {
            fields: fieldIds,
            primitiveTransformation: primitiveTransformation,
          },
        ],
      },
    },
    item: {
      table: tablularData,
    },
  };

  // Send the request and receive response from the service.
  const [response] = await dlp.reidentifyContent(request);

  // Print the results.
  console.log(
    `Table after re-identification: ${JSON.stringify(response.item.table)}`
  );
}
await reidentifyTableWithFpe();

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\FieldTransformation;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\ReidentifyContentRequest;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\Value;

/**
 * Re-identify table data with FPE.
 *
 * @param string $callingProjectId      The Google Cloud project id to use as a parent resource.
 * @param string $inputCsvFile          The input file(csv) path  to reidentify.
 * @param string $outputCsvFile         The oupt file path to save reidentify content.
 * @param string $encryptedFieldNames   The field to be encrypted.
 * @param string $kmsKeyName            The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
 * Example: key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
 * @param string $wrappedAesKey         The encrypted ('wrapped') AES-256 key to use.
 *
 * */

function reidentify_table_fpe(
    string $callingProjectId,
    string $inputCsvFile,
    string $outputCsvFile,
    string $encryptedFieldNames,
    string $kmsKeyName,
    string $wrappedAesKey
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Read a CSV file.
    $csvLines = file($inputCsvFile, FILE_IGNORE_NEW_LINES);
    $csvHeaders = explode(',', $csvLines[0]);
    $csvRows = array_slice($csvLines, 1);

    // Convert CSV file into protobuf objects.
    $tableHeaders = array_map(function ($csvHeader) {
        return (new FieldId)
            ->setName($csvHeader);
    }, $csvHeaders);

    $tableRows = array_map(function ($csvRow) {
        $rowValues = array_map(function ($csvValue) {
            return (new Value())
                ->setStringValue($csvValue);
        }, explode(',', $csvRow));
        return (new Row())
            ->setValues($rowValues);
    }, $csvRows);

    // Construct the table object.
    $tableToDeIdentify = (new Table())
        ->setHeaders($tableHeaders)
        ->setRows($tableRows);

    // Specify the content to be reidentify.
    $content = (new ContentItem())
        ->setTable($tableToDeIdentify);

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedAesKey))
        ->setCryptoKeyName($kmsKeyName);

    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Specify how to un-encrypt the previously de-identified information.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet(FfxCommonNativeAlphabet::NUMERIC);

    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    // Specify field to be decrypted.
    $encryptedFields = array_map(function ($encryptedFieldName) {
        return (new FieldId())
            ->setName($encryptedFieldName);
    }, explode(',', $encryptedFieldNames));

    // Associate the decryption with the specified field.
    $fieldTransformation = (new FieldTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setFields($encryptedFields);

    $recordtransformations = (new RecordTransformations())
        ->setFieldTransformations([$fieldTransformation]);

    $reidentifyConfig = (new DeidentifyConfig())
        ->setRecordTransformations($recordtransformations);

    // Run request.
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setItem($content);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results.
    $csvRef = fopen($outputCsvFile, 'w');
    fputcsv($csvRef, $csvHeaders);
    foreach ($response->getItem()->getTable()->getRows() as $tableRow) {
        $values = array_map(function ($tableValue) {
            return $tableValue->getStringValue();
        }, iterator_to_array($tableRow->getValues()));
        fputcsv($csvRef, $values);
    };
    printf('Table after re-identification (File Location): %s', $outputCsvFile);
}

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import base64

from typing import List

import google.cloud.dlp


def reidentify_table_with_fpe(
    project: str,
    table_header: List[str],
    table_rows: List[List[str]],
    reid_field_names: List[str],
    key_name: str = None,
    wrapped_key: bytes = None,
    alphabet: str = None,
) -> None:
    """Uses the Data Loss Prevention API to re-identify sensitive data in a
    table that was encrypted by Format Preserving Encryption (FPE).

    Args:
        project: The Google Cloud project id to use as a parent resource.
        table_header: List of strings representing table field names.
        table_rows: List of rows representing table data.
        reid_field_names: A list of fields in table to re-identify.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The decrypted ('wrapped', in bytes) AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2/projects.deidentifyTemplates#ffxcommonnativealphabet
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Construct the `table`. For more details on the table schema, please see
    # https://cloud.google.com/dlp/docs/reference/rest/v2/ContentItem#Table
    headers = [{"name": val} for val in table_header]
    rows = []
    for row in table_rows:
        rows.append({"values": [{"string_value": cell_val} for cell_val in row]})
    table = {"headers": headers, "rows": rows}

    # Convert table to `item`
    item = {"table": table}

    # Specify fields to be re-identified/decrypted.
    reid_field_names = [{"name": _i} for _i in reid_field_names]

    # Construct FPE configuration dictionary
    crypto_replace_ffx_fpe_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name}
        },
        "common_alphabet": alphabet,
    }

    # Construct reidentify configuration dictionary
    reidentify_config = {
        "record_transformations": {
            "field_transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": crypto_replace_ffx_fpe_config,
                    },
                    "fields": reid_field_names,
                }
            ]
        }
    }

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API.
    response = dlp.reidentify_content(
        request={
            "parent": parent,
            "reidentify_config": reidentify_config,
            "item": item,
        }
    )

    # Print out results.
    print(f"Table after re-identification: {response.item.table}")

Encriptación determinista

El método de transformación de encriptación determinista, CryptoDeterministicConfig en la API de DLP, toma un valor de entrada (un dato sensible que detectó la Protección de datos sensibles), lo encripta mediante el uso de AES-SIV con una CryptoKey y, luego, reemplaza el valor original por una representación codificada en base64 del valor encriptado.

El uso de la transformación de encriptación determinista permite una búsqueda más eficiente de los datos encriptados.

El valor de entrada debe cumplir las siguientes condiciones:

Debe tener una longitud mínima de 1 carácter.
No debe tener limitaciones de grupo de caracteres.

El token generado tiene las siguientes características:

Es una representación codificada en base64 del valor encriptado.
No conserva el grupo de caracteres (“alfabeto”) ni la longitud del valor de entrada luego de la encriptación.
Se calcula mediante la encriptación AES en modo SIV (AES-SIV) con una CryptoKey.
No es necesariamente único, ya que cada instancia del mismo valor de entrada genera el mismo token cuando se desidentifica. Esto permite realizar búsquedas más eficientes de los datos encriptados. Puedes cambiar este comportamiento si realizas “ajustes” de contexto, como se describe en Contextos.
Se genera con un prefijo agregado en el formato [SURROGATE_TYPE]([LENGTH]):, en el que [SURROGATE_TYPE] representa un Infotipo subrogado que describe el valor de entrada y [LENGTH] indica la longitud de caracteres. El valor subrogado permite que el token se vuelva a identificar mediante la clave de encriptación original que se usó para la desidentificación.

A continuación, se muestra un ejemplo de configuración JSON para la desidentificación mediante una encriptación determinista. Ten en cuenta que elegimos “PHONE_SURROGATE” como nuestro tipo de valor subrogado descriptivo, ya que estamos desidentificando números de teléfono. [CRYPTO_KEY] representa una clave criptográfica separada que se obtuvo de Cloud KMS.

{
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"PHONE_NUMBER"
            }
          ],
          "primitiveTransformation":{
            "cryptoDeterministicConfig":{
              "cryptoKey":{
                "unwrapped":{
                  "key":"[CRYPTO_KEY]"
                }
              },
              "surrogateInfoType":{
                "name":"PHONE_SURROGATE"
              }
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"PHONE_NUMBER"
      }
    ]
  },
  "item":{
    "value":"My phone number is 206-555-0574, call me"
  }
}

Si se desidentifica la string “My phone number is 206-555-0574” mediante esta transformación, se genera una string desidentificada como la que se muestra a continuación:

My phone number is PHONE_SURROGATE(36):ATZBu5OCCSwo+e94xSYnKYljk1OQpkW7qhzx, call me

Si deseas volver a identificar esta string, puedes usar una solicitud JSON como la siguiente, en la que [CRYPTO_KEY] es la misma clave criptográfica que se usó para desidentificar el contenido.

{
  "reidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"PHONE_SURROGATE"
            }
          ],
          "primitiveTransformation":{
            "cryptoDeterministicConfig":{
              "cryptoKey":{
                "unwrapped":{
                  "key":"[CRYPTO_KEY]"
                }
              },
              "surrogateInfoType":{
                "name":"PHONE_SURROGATE"
              }
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "customInfoTypes":[
      {
        "infoType":{
          "name":"PHONE_SURROGATE"
        },
        "surrogateType":{

        }
      }
    ]
  },
  "item":{
    "value":"My phone number is [PHONE_SURROGATE](36):ATZBu5OCCSwo+e94xSYnKYljk1OQpkW7qhzx, call me"
  }
}

Si se vuelve a identificar esta string, se genera la string original:

My phone number is 206-555-0574, call me

Si, en cambio, deseas usar una CryptoKey unida (encriptada) para mejorar la seguridad, consulta la Guía de inicio rápido: Desidentifica y reidentifica texto sensible para ver un ejemplo. Cuando estés listo para usar una biblioteca cliente a fin de desidentificar contenido, recuerda decodificar la clave unida (que es una string codificada en base64 de forma predeterminada), como se muestra en Encriptación de preservación de formato en esta página.

Ejemplos de encriptación determinista: desidentificación

En este ejemplo, se usa el método de transformación CryptoDeterministicConfig para desidentificar datos sensibles. Para obtener más información, consulta Encriptación determinista en esta página.

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyWithDeterministic
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        string keyName,
        string wrapperKey,
        InfoType surrogateType = null,
        IEnumerable<InfoType> infoTypes = null)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Construct the inspect config by specifying the type of info to be inspected.
        var inspectConfig = new InspectConfig
        {
            InfoTypes =
            {
                infoTypes ?? new InfoType[] { new InfoType { Name = "PHONE_NUMBER" } }
            }
        };

        // Construct the crypto deterministic config by providing key name, wrapped key and surrogate type.
        var cryptoDeterministicConfig = new CryptoDeterministicConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = Google.Protobuf.ByteString.FromBase64(wrapperKey)
                }
            },
            SurrogateInfoType = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" }
        };


        // Construct the deidentify config using crypto deterministic config.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoDeterministicConfig = cryptoDeterministicConfig
                        }
                    }
                }
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        DeidentifyContentResponse response = dlp.DeidentifyContent(request);

        // Check the de-identified content.
        Console.WriteLine($"De-identified content: {response.Item.Value}");
        return response;
    }
}

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deIdentifyDeterministicEncryption de-identifies through deterministic encryption
func deIdentifyDeterministicEncryption(w io.Writer, projectID, inputStr string, infoTypeNames []string, keyFileName, cryptoKeyName, surrogateInfoType string) error {
	// projectId := "your-project-id"
	// inputStr := "My SSN is 111111111"
	// infoTypeNames := []string{"US_SOCIAL_SECURITY_NUMBER"}
	/* keyFileName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// cryptoKeyName := "YOUR_ENCRYPTED_AES_256_KEY"
	// surrogateInfoType := "SSN_TOKEN"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	wrappedKey, err := base64.StdEncoding.DecodeString(cryptoKeyName)
	if err != nil {
		return err
	}

	// Specify the type of info the inspection will look for.
	// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
	var infoTypes []*dlppb.InfoType
	for _, it := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: it})
	}

	// Specify the key used by the encryption function for deterministic encryption.
	cryptoReplaceDeterministicConfig := &dlppb.CryptoDeterministicConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: &dlppb.CryptoKey_KmsWrapped{
				KmsWrapped: &dlppb.KmsWrappedCryptoKey{
					WrappedKey:    wrappedKey,
					CryptoKeyName: keyFileName,
				},
			},
		},
		SurrogateInfoType: &dlppb.InfoType{
			Name: surrogateInfoType,
		},
	}

	// Specifying the info-types to look for.
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: infoTypes,
	}

	// Specify what content you want the service to de-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: inputStr,
		},
	}

	// Specifying the deterministic crypto.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoDeterministicConfig{
			CryptoDeterministicConfig: cryptoReplaceDeterministicConfig,
		},
	}

	// Construct a de-identification config for de-identify deterministic request.
	deIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: &dlppb.InfoTypeTransformations{
				Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
					{
						PrimitiveTransformation: primitiveTransformation,
					},
				},
			},
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: deIdentifyConfig,
		InspectConfig:    inspectConfig,
		Item:             contentItem,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the results.
	fmt.Fprintf(w, "output : %v", resp.GetItem().GetValue())
	return nil
}

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoDeterministicConfig;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.util.Collections;
import org.apache.commons.codec.binary.Base64;

public class DeIdenitfyWithDeterministicEncryption {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.

    //The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The string to de-identify.
    String textToDeIdentify = "My SSN is 372819127";
    // The encrypted ('wrapped') AES-256 key to use.
    // This key should be encrypted using the Cloud KMS key specified by key_name.
    String wrappedKey = "YOUR_ENCRYPTED_AES_256_KEY";
    // The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    deIdentifyWithDeterministicEncryption(projectId, textToDeIdentify, wrappedKey, kmsKeyName);
  }

  // De-identifies sensitive data in a string using deterministic encryption. The encryption is
  // performed with a wrapped key.
  public static String deIdentifyWithDeterministicEncryption(
      String projectId, String textToDeIdentify, String wrappedKey, String key) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to de-identify.
      ContentItem contentItem = ContentItem.newBuilder()
              .setValue(textToDeIdentify)
              .build();

      // Specify the type of info the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder()
              .setName("US_SOCIAL_SECURITY_NUMBER")
              .build();

      InspectConfig inspectConfig = InspectConfig.newBuilder()
                  .addAllInfoTypes(Collections.singletonList(infoType))
                  .build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
      KmsWrappedCryptoKey unwrappedCryptoKey = KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(
                      Base64.decodeBase64(wrappedKey.getBytes(StandardCharsets.UTF_8))))
              .setCryptoKeyName(key)
              .build();

      CryptoKey cryptoKey = CryptoKey.newBuilder()
              .setKmsWrapped(unwrappedCryptoKey)
              .build();

      // Specify how the info from the inspection should be encrypted.
      InfoType surrogateInfoType = InfoType.newBuilder()
              .setName("SSN_TOKEN")
              .build();

      CryptoDeterministicConfig cryptoDeterministicConfig = CryptoDeterministicConfig.newBuilder()
              .setSurrogateInfoType(surrogateInfoType)
              .setCryptoKey(cryptoKey)
              .build();

      PrimitiveTransformation primitiveTransformation = PrimitiveTransformation.newBuilder()
              .setCryptoDeterministicConfig(cryptoDeterministicConfig)
              .build();

      InfoTypeTransformations.InfoTypeTransformation infoTypeTransformation =
              InfoTypeTransformations.InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      InfoTypeTransformations transformations = InfoTypeTransformations.newBuilder()
              .addTransformations(infoTypeTransformation)
              .build();

      DeidentifyConfig deidentifyConfig = DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(transformations)
              .build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request = DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results.
      System.out.println(
          "Text after de-identification: " + response.getItem().getValue());

      return response.getItem().getValue();

    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to deidentify
// const string = 'My name is Alicia Abernathy, and my email address is aabernathy@example.com.';

// The infoTypes of information to match
// const infoTypes = [{ name: 'EMAIL_ADDRESS' }];

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use
// Only necessary if you want to reverse the deidentification process
// Can be essentially any arbitrary string, as long as it doesn't appear
// in your dataset otherwise.
// const surrogateType = 'EMAIL_ADDRESS_TOKEN';

async function deidentifyDeterministic() {
  // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
  const cryptoDeterministicEncryption = {
    cryptoKey: {
      kmsWrapped: {
        wrappedKey: wrappedKey,
        cryptoKeyName: keyName,
      },
    },
    surrogateInfoType: {name: surrogateType},
  };

  // Construct inspect configuration to match information
  const inspectConfig = {
    infoTypes,
  };

  // Associate the encryption with the infotype transformation.
  const infoTypeTransformations = {
    transformations: [
      {
        infoTypes,
        primitiveTransformation: {
          cryptoDeterministicConfig: cryptoDeterministicEncryption,
        },
      },
    ],
  };

  // Construct item to inspect
  const item = {value: string};

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: infoTypeTransformations,
    },
    inspectConfig,
    item: item,
  };

  // Run de-identification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;

  // Print results
  console.log(deidentifiedItem.value);
}
await deidentifyDeterministic();

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoDeterministicConfig;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;

/**
 * De-identify content through deterministic encryption.
 * Use the Data Loss Prevention API to de-identify sensitive data in a string using deterministic encryption,
 * which is a reversible cryptographic method. The encryption is performed with a wrapped key.
 *
 * @param string $callingProjectId  The Google Cloud project id to use as a parent resource.
 * @param string $inputString       The string to deidentify (will be treated as text).
 * @param string $kmsKeyName        The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
 * Example: key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'.
 * @param string $infoTypeName      The Info type name to be inspect.
 * @param string $surrogateTypeName The name of the surrogate custom info type to use.
 * Only necessary if you want to reverse the deidentification process. Can be essentially any arbitrary
 * string, as long as it doesn't appear in your dataset otherwise.
 * @param string $wrappedAesKey     The encrypted ('wrapped') AES-256 key to use.
 *
 * */

function deidentify_deterministic(
    string $callingProjectId,
    string $kmsKeyName,
    string $wrappedAesKey,
    string $inputString = 'My PHONE NUMBER IS 731997681',
    string $infoTypeName = 'PHONE_NUMBER',
    string $surrogateTypeName = 'PHONE_TOKEN'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Specify what content you want the service to DeIdentify.
    $content = (new ContentItem())->setValue($inputString);

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedAesKey))
        ->setCryptoKeyName($kmsKeyName);

    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Specify how the info from the inspection should be encrypted.
    $cryptoDeterministicConfig = (new CryptoDeterministicConfig())
        ->setCryptoKey($cryptoKey);

    if (!empty($surrogateTypeName)) {
        $cryptoDeterministicConfig = $cryptoDeterministicConfig->setSurrogateInfoType((new InfoType())
            ->setName($surrogateTypeName));
    }

    // Specify the type of info the inspection will look for.
    $infoType = (new InfoType())
        ->setName($infoTypeName);

    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$infoType]);

    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoDeterministicConfig($cryptoDeterministicConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Send the request and receive response from the service.
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content)
        ->setInspectConfig($inspectConfig);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import base64
from typing import List

import google.cloud.dlp


def deidentify_with_deterministic(
    project: str,
    input_str: str,
    info_types: List[str],
    surrogate_type: str = None,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """Deidentifies sensitive data in a string using deterministic encryption.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
        surrogate_type: The name of the surrogate custom info type to use. Only
            necessary if you want to reverse the deidentification process. Can
            be essentially any arbitrary string, as long as it doesn't appear
            in your dataset otherwise.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Construct Deterministic encryption configuration dictionary
    crypto_replace_deterministic_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name}
        },
    }

    # Add surrogate type
    if surrogate_type:
        crypto_replace_deterministic_config["surrogate_info_type"] = {
            "name": surrogate_type
        }

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_deterministic_config": crypto_replace_deterministic_config
                    }
                }
            ]
        }
    }

    # Convert string to item
    item = {"value": input_str}

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(response.item.value)

Ejemplos de encriptación determinista: reidentificación

En este ejemplo, se muestra cómo volver a identificar los datos sensibles que se desidentificaron a través del método de transformación CryptoDeterministicConfig. Para obtener más información, consulta Encriptación determinista en esta página.

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;

public class ReidentifyContentUsingDeterministic
{
    public static ReidentifyContentResponse ReidentifyDeterministic(
        string projectId,
        string text,
        string keyName,
        string wrappedKey,
        InfoType surrogateType = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct the infoType if null which will be used as surrogate type and infoType both.
        var infoType = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" };

        // Construct crypto deterministic config using the crypto key name and wrapped key.
        var cryptoDeterministicConfig = new CryptoDeterministicConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            SurrogateInfoType = infoType,
        };

        // Construct the reidentify config using crypto config.
        var reidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoDeterministicConfig = cryptoDeterministicConfig
                        }
                    }
                }
            }
        };

        // Construct the inspect config.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infoType,
                    SurrogateType = new CustomInfoType.Types.SurrogateType()
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            ReidentifyConfig = reidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text },
        };

        // Call the API.
        ReidentifyContentResponse response = dlp.ReidentifyContent(request);

        // Inspect the response.
        Console.WriteLine($"Reidentified content: {response.Item.Value}");
        return response;
    }
}

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// reidentifyWithDeterministic re-identifies content encrypted by deterministic encryption.
func reidentifyWithDeterministic(w io.Writer, projectID, inputStr, surrogateType, keyName, wrappedKey string) error {
	// projectId := "my-project-id"
	// inputStr := "EMAIL_ADDRESS_TOKEN(52):AVAx2eIEnIQP5jbNEr2j9wLOAd5m4kpSBR/0jjjGdAOmryzZbE/q"
	// surrogateType := "EMAIL_ADDRESS_TOKEN"
	/* keyName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// wrappedKey := "YOUR_ENCRYPTED_AES_256_KEY"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// The wrapped key is base64-encoded, but the library expects a binary
	// string, so decode it here.
	keyBytes, err := base64.StdEncoding.DecodeString(wrappedKey)
	if err != nil {
		return err
	}

	// Create crypto deterministic config.
	cryptoDeterministicConfig := &dlppb.CryptoDeterministicConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: &dlppb.CryptoKey_KmsWrapped{
				KmsWrapped: &dlppb.KmsWrappedCryptoKey{
					WrappedKey:    keyBytes,
					CryptoKeyName: keyName,
				},
			},
		},
		SurrogateInfoType: &dlppb.InfoType{
			Name: surrogateType,
		},
	}

	// Create a config for primitive transformation.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoDeterministicConfig{
			CryptoDeterministicConfig: cryptoDeterministicConfig,
		},
	}

	transformation := &dlppb.DeidentifyConfig_InfoTypeTransformations{
		InfoTypeTransformations: &dlppb.InfoTypeTransformations{
			Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
				{
					PrimitiveTransformation: primitiveTransformation,
				},
			},
		},
	}

	// Construct config to re-identify the config.
	reIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: transformation,
	}

	// Construct a config for inspection.
	inspectConfig := &dlppb.InspectConfig{
		CustomInfoTypes: []*dlppb.CustomInfoType{
			{
				InfoType: &dlppb.InfoType{
					Name: surrogateType,
				},
				Type: &dlppb.CustomInfoType_SurrogateType_{
					SurrogateType: &dlppb.CustomInfoType_SurrogateType{},
				},
			},
		},
	}

	// Item to be analyzed.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: inputStr,
		},
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.ReidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: reIdentifyConfig,
		InspectConfig:    inspectConfig,
		Item:             item,
	}

	// Send the request.
	r, err := client.ReidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "output: %v", r.GetItem().GetValue())
	return nil
}

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoDeterministicConfig;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import org.apache.commons.codec.binary.Base64;

public class ReidentifyWithDeterministicEncryption {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.

    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The string to de-identify.
    String textToIdentify = "My SSN is 372819127";
    // The encrypted ('wrapped') AES-256 key to use.
    // This key should be encrypted using the Cloud KMS key specified by key_name.
    String wrappedKey = "YOUR_ENCRYPTED_AES_256_KEY";
    // The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    // The string to re-identify.
    String textToReIdentify =
        DeIdenitfyWithDeterministicEncryption.deIdentifyWithDeterministicEncryption(
            projectId, textToIdentify, wrappedKey, kmsKeyName);
    reIdentifyWithDeterminsiticEncryption(projectId, textToReIdentify, wrappedKey, kmsKeyName);
  }

  // Re-identifies sensitive data in a string that was previously de-identified through
  // deterministic encryption.
  public static void reIdentifyWithDeterminsiticEncryption(
      String projectId, String textToReIdentify, String wrappedKey, String key) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to re-identify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToReIdentify).build();

      CustomInfoType.SurrogateType surrogateType =
          CustomInfoType.SurrogateType.newBuilder().build();

      // Specify the surrogate type used at time of de-identification.
      InfoType surrogateInfoType = InfoType.newBuilder()
              .setName("SSN_TOKEN")
              .build();

      CustomInfoType customInfoType = CustomInfoType.newBuilder()
              .setInfoType(surrogateInfoType)
              .setSurrogateType(surrogateType)
              .build();

      InspectConfig inspectConfig = InspectConfig.newBuilder()
              .addCustomInfoTypes(customInfoType)
              .build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
      KmsWrappedCryptoKey unwrappedCryptoKey = KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(
                  ByteString.copyFrom(
                          Base64.decodeBase64(wrappedKey.getBytes(StandardCharsets.UTF_8))))
              .setCryptoKeyName(key)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder()
              .setKmsWrapped(unwrappedCryptoKey)
              .build();

      CryptoDeterministicConfig cryptoDeterministicConfig = CryptoDeterministicConfig.newBuilder()
              .setSurrogateInfoType(surrogateInfoType)
              .setCryptoKey(cryptoKey)
              .build();

      PrimitiveTransformation primitiveTransformation = PrimitiveTransformation.newBuilder()
              .setCryptoDeterministicConfig(cryptoDeterministicConfig)
              .build();

      InfoTypeTransformations.InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformations.InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      InfoTypeTransformations transformations = InfoTypeTransformations.newBuilder()
              .addTransformations(infoTypeTransformation)
              .build();

      DeidentifyConfig deidentifyConfig = DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(transformations)
              .build();

      // Combine configurations into a request for the service.
      ReidentifyContentRequest request = ReidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setReidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service.
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results.
      System.out.println("Text after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to deidentify
// const string = 'My name is Alicia Abernathy, and my email address is EMAIL_ADDRESS_TOKEN(52):XXXXXX';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use
// Only necessary if you want to reverse the de-identification process
// Can be essentially any arbitrary string, as long as it doesn't appear
// in your dataset otherwise.
// const surrogateType = 'EMAIL_ADDRESS_TOKEN';

async function reidentifyDeterministic() {
  // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
  const cryptoDeterministicEncryption = {
    cryptoKey: {
      kmsWrapped: {
        wrappedKey: wrappedKey,
        cryptoKeyName: keyName,
      },
    },
    surrogateInfoType: {name: surrogateType},
  };

  // Construct custom infotype to match information
  const customInfoTypes = [
    {
      infoType: {
        name: surrogateType,
      },
      surrogateType: {},
    },
  ];

  // Associate the encryption with the infotype transformation.
  const infoTypeTransformations = {
    transformations: [
      {
        infoTypes: [{name: surrogateType}],
        primitiveTransformation: {
          cryptoDeterministicConfig: cryptoDeterministicEncryption,
        },
      },
    ],
  };

  // Construct item to inspect
  const item = {value: string};

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      infoTypeTransformations: infoTypeTransformations,
    },
    inspectConfig: {customInfoTypes},
    item,
  };

  // Run re-identification request
  const [response] = await dlp.reidentifyContent(request);
  const deidentifiedItem = response.item;

  // Print results
  console.log(deidentifiedItem.value);
}
await reidentifyDeterministic();

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoDeterministicConfig;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\SurrogateType;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReidentifyContentRequest;

/**
 * Re-identify content encrypted by deterministic encryption.
 * Re-identify content that was previously de-identified through deterministic encryption.
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under.
 * @param string $string            The string to reidentify.
 * @param string $keyName           The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key.
 * @param string $wrappedKey        The name of the Cloud KMS key use, encrypted with the KMS key in $keyName.
 * @param string $surrogateTypeName Surrogate custom info type to enable reidentification.
 */
function reidentify_deterministic(
    string $callingProjectId,
    string $string,
    string $surrogateTypeName,
    string $keyName,
    string $wrappedKey
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Specify what content you want the service to Re-identify.
    $item = (new ContentItem())
        ->setValue($string);

    // Specify the surrogate type used at time of de-identification.
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    $customInfoType = (new CustomInfoType())
        ->setInfoType($surrogateType)
        ->setSurrogateType(new SurrogateType());

    // Create the inspect configuration object.
    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType]);

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedKey))
        ->setCryptoKeyName($keyName);

    // Create the crypto key configuration object.
    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Create the crypto deterministic configuration object.
    $cryptoDeterministicConfig = (new CryptoDeterministicConfig())
        ->setCryptoKey($cryptoKey)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoDeterministicConfig($cryptoDeterministicConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the reidentification configuration object.
    $reidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Run request.
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($item);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import base64

import google.cloud.dlp


def reidentify_with_deterministic(
    project: str,
    input_str: str,
    surrogate_type: str = None,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """Re-identifies content that was previously de-identified through deterministic encryption.
    Args:
        project: The Google Cloud project ID to use as a parent resource.
        input_str: The string to be re-identified. Provide the entire token. Example:
            EMAIL_ADDRESS_TOKEN(52):AVAx2eIEnIQP5jbNEr2j9wLOAd5m4kpSBR/0jjjGdAOmryzZbE/q
        surrogate_type: The name of the surrogate custom infoType used
            during the encryption process.
        key_name: The name of the Cloud KMS key used to encrypt ("wrap") the
            AES-256 key. Example:
            keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ("wrapped") AES-256 key previously used to encrypt the content.
            This key must have been encrypted using the Cloud KMS key specified by key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Construct reidentify Configuration
    reidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_deterministic_config": {
                            "crypto_key": {
                                "kms_wrapped": {
                                    "wrapped_key": wrapped_key,
                                    "crypto_key_name": key_name,
                                }
                            },
                            "surrogate_info_type": {"name": surrogate_type},
                        }
                    }
                }
            ]
        }
    }

    inspect_config = {
        "custom_info_types": [
            {"info_type": {"name": surrogate_type}, "surrogate_type": {}}
        ]
    }

    # Convert string to item
    item = {"value": input_str}

    # Call the API
    response = dlp.reidentify_content(
        request={
            "parent": parent,
            "reidentify_config": reidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(response.item.value)

Agrupamiento

Las transformaciones de agrupamiento sirven para desidentificar datos numéricos mediante el “agrupamiento” en rangos. El rango numérico resultante es una string con guion que consta de un límite inferior, un guion y un límite superior.

Agrupamiento de tamaño fijo

Sensitive Data Protection puede bucket valores de entrada numéricos en función de rangos de tamaño fijos (FixedSizeBucketingConfig en la API de DLP). Debes especificar los siguientes elementos para configurar el agrupamiento de tamaño fijo:

El valor del límite inferior de todos los grupos. Los valores que sean menores al límite inferior se agruparán en un solo grupo
El valor del límite superior de todos los grupos. Los valores que sean mayores al límite superior se agruparán en un solo grupo
El tamaño de cada grupo que sea distinto de los grupos mínimo y máximo.

Por ejemplo, si el límite inferior se establece en 10, el límite superior en 89 y el tamaño del grupo en 10, se usarán los siguientes grupos: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+.

Para obtener más información sobre el concepto de agrupamiento, consulta Generalización y agrupamiento.

Agrupamiento personalizable

El agrupamiento personalizable (BucketingConfig en la API de DLP) ofrece más flexibilidad que el agrupamiento de tamaño fijo. En vez de especificar los límites inferiores y superiores y un valor interno para crear grupos de igual tamaño, especificas los valores mínimo y máximo de cada grupo que desees crear. Cada par de valores mínimo y máximo debe tener el mismo tipo.

Puedes configurar el agrupamiento personalizable si especificas grupos individuales. Cada bucket tiene las siguientes propiedades:

El límite inferior del rango del grupo. Omite este valor para crear un grupo que no tenga un límite inferior
El límite superior del rango del grupo. Omite este valor para crear un grupo que no tenga un límite superior
El valor de reemplazo para este rango de grupos. Este es el valor por el que se reemplazarán todos los valores detectados que se encuentren entre los límites inferior y superior. Si no proporcionas un valor de reemplazo, se generará un rango de mínimos y máximos con guiones

Por ejemplo, considera la siguiente configuración de JSON para esta transformación de agrupamiento:

"bucketingConfig":{
  "buckets":[
    {
      "min":{
        "integerValue":"1"
      },
      "max":{
        "integerValue":"30"
      },
      "replacementValue":{
        "stringValue":"LOW"
      }
    },
    {
      "min":{
        "integerValue":"31"
      },
      "max":{
        "integerValue":"65"
      },
      "replacementValue":{
        "stringValue":"MEDIUM"
      }
    },
    {
      "min":{
        "integerValue":"66"
      },
      "max":{
        "integerValue":"100"
      },
      "replacementValue":{
        "stringValue":"HIGH"
      }
    }
  ]
}

Esta configuración define el siguiente comportamiento:

Los valores de número entero que se encuentran entre 1 y 30 se enmascaran mediante el reemplazo por LOW.
Los valores de número entero que se encuentran entre 31 y 65 se enmascaran mediante el reemplazo por MEDIUM.
Los valores de número entero que se encuentran entre 66 y 100 se enmascaran mediante el reemplazo por HIGH.

Para obtener más información sobre el concepto de agrupamiento, consulta Generalización y agrupamiento.

Cambio de fechas

Cuando usas la transformación de cambio de fechas (DateShiftConfig en la API de DLP) en un valor de entrada de fecha, Sensitive Data Protection cambia las fechas por una cantidad aleatoria de días.

Las técnicas de cambio de fechas cambian un conjunto de fechas de forma aleatoria, pero conservan la secuencia y la duración de un período. En general, el cambio de fechas se realiza en el contexto de un individuo o una entidad. Es decir, debes cambiar todas las fechas de un individuo específico mediante el uso del mismo diferencial de cambio, pero debes usar un diferencial de cambio distinto para cada individuo.

Para obtener más información sobre el cambio de fechas, consulta Cambio de fechas.

A continuación, se observa el código de muestra en varios lenguajes, lo que explica cómo usar la API de Cloud DLP para desidentificar fechas mediante el cambio de fecha.

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.base.Splitter;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.DateShiftConfig;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.FieldId;
import com.google.privacy.dlp.v2.FieldTransformation;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.Value;
import com.google.type.Date;
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.time.LocalDate;
import java.time.format.DateTimeFormatter;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;

public class DeIdentifyWithDateShift {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    Path inputCsvFile = Paths.get("path/to/your/input/file.csv");
    Path outputCsvFile = Paths.get("path/to/your/output/file.csv");
    deIdentifyWithDateShift(projectId, inputCsvFile, outputCsvFile);
  }

  public static void deIdentifyWithDateShift(
      String projectId, Path inputCsvFile, Path outputCsvFile) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Read the contents of the CSV file into a Table
      List<FieldId> headers;
      List<Table.Row> rows;
      try (BufferedReader input = Files.newBufferedReader(inputCsvFile)) {
        // Parse and convert the first line into header names
        headers =
            Arrays.stream(input.readLine().split(","))
                .map(header -> FieldId.newBuilder().setName(header).build())
                .collect(Collectors.toList());
        // Parse the remainder of the file as Table.Rows
        rows =
            input.lines().map(DeIdentifyWithDateShift::parseLineAsRow).collect(Collectors.toList());
      }
      Table table = Table.newBuilder().addAllHeaders(headers).addAllRows(rows).build();
      ContentItem item = ContentItem.newBuilder().setTable(table).build();

      // Set the maximum days to shift dates backwards (lower bound) or forward (upper bound)
      DateShiftConfig dateShiftConfig =
          DateShiftConfig.newBuilder().setLowerBoundDays(5).setUpperBoundDays(5).build();
      PrimitiveTransformation transformation =
          PrimitiveTransformation.newBuilder().setDateShiftConfig(dateShiftConfig).build();
      // Specify which fields the DateShift should apply too
      List<FieldId> dateFields = Arrays.asList(headers.get(1), headers.get(3));
      FieldTransformation fieldTransformation =
          FieldTransformation.newBuilder()
              .addAllFields(dateFields)
              .setPrimitiveTransformation(transformation)
              .build();
      RecordTransformations recordTransformations =
          RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build();
      // Specify the config for the de-identify request
      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setRecordTransformations(recordTransformations).build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Write the results to the target CSV file
      try (BufferedWriter writer = Files.newBufferedWriter(outputCsvFile)) {
        Table outTable = response.getItem().getTable();
        String headerOut =
            outTable.getHeadersList().stream()
                .map(FieldId::getName)
                .collect(Collectors.joining(","));
        writer.write(headerOut + "\n");

        List<String> rowOutput =
            outTable.getRowsList().stream()
                .map(row -> joinRow(row.getValuesList()))
                .collect(Collectors.toList());
        for (String line : rowOutput) {
          writer.write(line + "\n");
        }
        System.out.println("Content written to file: " + outputCsvFile.toString());
      }
    }
  }

  // Convert the string from the csv file into com.google.type.Date
  public static Date parseAsDate(String s) {
    LocalDate date = LocalDate.parse(s, DateTimeFormatter.ofPattern("MM/dd/yyyy"));
    return Date.newBuilder()
        .setDay(date.getDayOfMonth())
        .setMonth(date.getMonthValue())
        .setYear(date.getYear())
        .build();
  }

  // Each row is in the format: Name,BirthDate,CreditCardNumber,RegisterDate
  public static Table.Row parseLineAsRow(String line) {
    List<String> values = Splitter.on(",").splitToList(line);
    Value name = Value.newBuilder().setStringValue(values.get(0)).build();
    Value birthDate = Value.newBuilder().setDateValue(parseAsDate(values.get(1))).build();
    Value creditCardNumber = Value.newBuilder().setStringValue(values.get(2)).build();
    Value registerDate = Value.newBuilder().setDateValue(parseAsDate(values.get(3))).build();
    return Table.Row.newBuilder()
        .addValues(name)
        .addValues(birthDate)
        .addValues(creditCardNumber)
        .addValues(registerDate)
        .build();
  }

  public static String formatDate(Date d) {
    return String.format("%s/%s/%s", d.getMonth(), d.getDay(), d.getYear());
  }

  public static String joinRow(List<Value> values) {
    String name = values.get(0).getStringValue();
    String birthDate = formatDate(values.get(1).getDateValue());
    String creditCardNumber = values.get(2).getStringValue();
    String registerDate = formatDate(values.get(3).getDateValue());
    return String.join(",", name, birthDate, creditCardNumber, registerDate);
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// Import other required libraries
const fs = require('fs');

// The project ID to run the API call under
// const projectId = 'my-project';

// The path to the CSV file to deidentify
// The first row of the file must specify column names, and all other rows
// must contain valid values
// const inputCsvFile = '/path/to/input/file.csv';

// The path to save the date-shifted CSV file to
// const outputCsvFile = '/path/to/output/file.csv';

// The list of (date) fields in the CSV file to date shift
// const dateFields = [{ name: 'birth_date'}, { name: 'register_date' }];

// The maximum number of days to shift a date backward
// const lowerBoundDays = 1;

// The maximum number of days to shift a date forward
// const upperBoundDays = 1;

// (Optional) The column to determine date shift amount based on
// If this is not specified, a random shift amount will be used for every row
// If this is specified, then 'wrappedKey' and 'keyName' must also be set
// const contextFieldId = [{ name: 'user_id' }];

// (Optional) The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// If this is specified, then 'wrappedKey' and 'contextFieldId' must also be set
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// (Optional) The encrypted ('wrapped') AES-256 key to use when shifting dates
// This key should be encrypted using the Cloud KMS key specified above
// If this is specified, then 'keyName' and 'contextFieldId' must also be set
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// Helper function for converting CSV rows to Protobuf types
const rowToProto = row => {
  const values = row.split(',');
  const convertedValues = values.map(value => {
    if (Date.parse(value)) {
      const date = new Date(value);
      return {
        dateValue: {
          year: date.getFullYear(),
          month: date.getMonth() + 1,
          day: date.getDate(),
        },
      };
    } else {
      // Convert all non-date values to strings
      return {stringValue: value.toString()};
    }
  });
  return {values: convertedValues};
};

async function deidentifyWithDateShift() {
  // Read and parse a CSV file
  const csvLines = fs
    .readFileSync(inputCsvFile)
    .toString()
    .split('\n')
    .filter(line => line.includes(','));
  const csvHeaders = csvLines[0].split(',');
  const csvRows = csvLines.slice(1);

  // Construct the table object
  const tableItem = {
    table: {
      headers: csvHeaders.map(header => {
        return {name: header};
      }),
      rows: csvRows.map(row => rowToProto(row)),
    },
  };

  // Construct DateShiftConfig
  const dateShiftConfig = {
    lowerBoundDays: lowerBoundDays,
    upperBoundDays: upperBoundDays,
  };

  if (contextFieldId && keyName && wrappedKey) {
    dateShiftConfig.context = {name: contextFieldId};
    dateShiftConfig.cryptoKey = {
      kmsWrapped: {
        wrappedKey: wrappedKey,
        cryptoKeyName: keyName,
      },
    };
  } else if (contextFieldId || keyName || wrappedKey) {
    throw new Error(
      'You must set either ALL or NONE of {contextFieldId, keyName, wrappedKey}!'
    );
  }

  // Construct deidentification request
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      recordTransformations: {
        fieldTransformations: [
          {
            fields: dateFields,
            primitiveTransformation: {
              dateShiftConfig: dateShiftConfig,
            },
          },
        ],
      },
    },
    item: tableItem,
  };

  // Run deidentification request
  const [response] = await dlp.deidentifyContent(request);
  const tableRows = response.item.table.rows;

  // Write results to a CSV file
  tableRows.forEach((row, rowIndex) => {
    const rowValues = row.values.map(
      value =>
        value.stringValue ||
        `${value.dateValue.month}/${value.dateValue.day}/${value.dateValue.year}`
    );
    csvLines[rowIndex + 1] = rowValues.join(',');
  });
  csvLines.push('');
  fs.writeFileSync(outputCsvFile, csvLines.join('\n'));

  // Print status
  console.log(`Successfully saved date-shift output to ${outputCsvFile}`);
}

deidentifyWithDateShift();

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import base64
import csv
from datetime import datetime
from typing import List

import google.cloud.dlp
from google.cloud.dlp_v2 import types


def deidentify_with_date_shift(
    project: str,
    input_csv_file: str = None,
    output_csv_file: str = None,
    date_fields: List[str] = None,
    lower_bound_days: int = None,
    upper_bound_days: int = None,
    context_field_id: str = None,
    wrapped_key: str = None,
    key_name: str = None,
) -> None:
    """Uses the Data Loss Prevention API to deidentify dates in a CSV file by
        pseudorandomly shifting them.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_csv_file: The path to the CSV file to deidentify. The first row
            of the file must specify column names, and all other rows must
            contain valid values.
        output_csv_file: The path to save the date-shifted CSV file.
        date_fields: The list of (date) fields in the CSV file to date shift.
            Example: ['birth_date', 'register_date']
        lower_bound_days: The maximum number of days to shift a date backward
        upper_bound_days: The maximum number of days to shift a date forward
        context_field_id: (Optional) The column to determine date shift amount
            based on. If this is not specified, a random shift amount will be
            used for every row. If this is specified, then 'wrappedKey' and
            'keyName' must also be set. Example:
            contextFieldId = [{ 'name': 'user_id' }]
        key_name: (Optional) The name of the Cloud KMS key used to encrypt
            ('wrap') the AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: (Optional) The encrypted ('wrapped') AES-256 key to use.
            This key should be encrypted using the Cloud KMS key specified by
            key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Convert date field list to Protobuf type
    def map_fields(field: str) -> dict:
        return {"name": field}

    if date_fields:
        date_fields = map(map_fields, date_fields)
    else:
        date_fields = []

    f = []
    with open(input_csv_file) as csvfile:
        reader = csv.reader(csvfile)
        for row in reader:
            f.append(row)

    #  Helper function for converting CSV rows to Protobuf types
    def map_headers(header: str) -> dict:
        return {"name": header}

    def map_data(value: str) -> dict:
        try:
            date = datetime.strptime(value, "%m/%d/%Y")
            return {
                "date_value": {"year": date.year, "month": date.month, "day": date.day}
            }
        except ValueError:
            return {"string_value": value}

    def map_rows(row: str) -> dict:
        return {"values": map(map_data, row)}

    # Using the helper functions, convert CSV rows to protobuf-compatible
    # dictionaries.
    csv_headers = map(map_headers, f[0])
    csv_rows = map(map_rows, f[1:])

    # Construct the table dict
    table_item = {"table": {"headers": csv_headers, "rows": csv_rows}}

    # Construct date shift config
    date_shift_config = {
        "lower_bound_days": lower_bound_days,
        "upper_bound_days": upper_bound_days,
    }

    # If using a Cloud KMS key, add it to the date_shift_config.
    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    if context_field_id and key_name and wrapped_key:
        date_shift_config["context"] = {"name": context_field_id}
        date_shift_config["crypto_key"] = {
            "kms_wrapped": {
                "wrapped_key": base64.b64decode(wrapped_key),
                "crypto_key_name": key_name,
            }
        }
    elif context_field_id or key_name or wrapped_key:
        raise ValueError(
            """You must set either ALL or NONE of
        [context_field_id, key_name, wrapped_key]!"""
        )

    # Construct Deidentify Config
    deidentify_config = {
        "record_transformations": {
            "field_transformations": [
                {
                    "fields": date_fields,
                    "primitive_transformation": {
                        "date_shift_config": date_shift_config
                    },
                }
            ]
        }
    }

    # Write to CSV helper methods
    def write_header(header: types.storage.FieldId) -> str:
        return header.name

    def write_data(data: types.storage.Value) -> str:
        return data.string_value or "{}/{}/{}".format(
            data.date_value.month,
            data.date_value.day,
            data.date_value.year,
        )

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "item": table_item,
        }
    )

    # Write results to CSV file
    with open(output_csv_file, "w") as csvfile:
        write_file = csv.writer(csvfile, delimiter=",")
        write_file.writerow(map(write_header, response.item.table.headers))
        for row in response.item.table.rows:
            write_file.writerow(map(write_data, row.values))
    # Print status
    print(f"Successfully saved date-shift output to {output_csv_file}")

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyDateShift shifts dates found in the input between lowerBoundDays and
// upperBoundDays.
func deidentifyDateShift(w io.Writer, projectID string, lowerBoundDays, upperBoundDays int32, input string) error {
	// projectID := "my-project-id"
	// lowerBoundDays := -1
	// upperBound := -1
	// input := "2016-01-10"
	// Will print "2016-01-09"
	ctx := context.Background()
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}
	defer client.Close()
	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: &dlppb.InfoTypeTransformations{
					Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
						{
							InfoTypes: []*dlppb.InfoType{}, // Match all info types.
							PrimitiveTransformation: &dlppb.PrimitiveTransformation{
								Transformation: &dlppb.PrimitiveTransformation_DateShiftConfig{
									DateShiftConfig: &dlppb.DateShiftConfig{
										LowerBoundDays: lowerBoundDays,
										UpperBoundDays: upperBoundDays,
									},
								},
							},
						},
					},
				},
			},
		},
		// The InspectConfig is used to identify the DATE fields.
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: []*dlppb.InfoType{
				{
					Name: "DATE",
				},
			},
		},
		// The item to analyze.
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: input,
			},
		},
	}
	// Send the request.
	r, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return fmt.Errorf("DeidentifyContent: %w", err)
	}
	// Print the result.
	fmt.Fprint(w, r.GetItem().GetValue())
	return nil
}

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

use DateTime;
use Exception;
use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\DateShiftConfig;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\FieldTransformation;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\Value;
use Google\Type\Date;

/**
 * Deidentify dates in a CSV file by pseudorandomly shifting them.
 * If contextFieldName is not specified, a random shift amount will be used for every row.
 * If contextFieldName is specified, then 'wrappedKey' and 'keyName' must also be set.
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under
 * @param string $inputCsvFile      The path to the CSV file to deidentify
 * @param string $outputCsvFile     The path to save the date-shifted CSV file to
 * @param string $dateFieldNames    The comma-separated list of (date) fields in the CSV file to date shift
 * @param int    $lowerBoundDays    The maximum number of days to shift a date backward
 * @param int    $upperBoundDays    The maximum number of days to shift a date forward
 * @param string $contextFieldName  (Optional) The column to determine date shift amount based on
 * @param string $keyName           (Optional) The encrypted ('wrapped') AES-256 key to use when shifting dates
 * @param string $wrappedKey        (Optional) The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key
 */
function deidentify_dates(
    string $callingProjectId,
    string $inputCsvFile,
    string $outputCsvFile,
    string $dateFieldNames,
    int $lowerBoundDays,
    int $upperBoundDays,
    string $contextFieldName = '',
    string $keyName = '',
    string $wrappedKey = ''
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Read a CSV file
    $csvLines = file($inputCsvFile, FILE_IGNORE_NEW_LINES);
    $csvHeaders = explode(',', $csvLines[0]);
    $csvRows = array_slice($csvLines, 1);

    // Convert CSV file into protobuf objects
    $tableHeaders = array_map(function ($csvHeader) {
        return (new FieldId)->setName($csvHeader);
    }, $csvHeaders);

    $tableRows = array_map(function ($csvRow) {
        $rowValues = array_map(function ($csvValue) {
            if ($csvDate = DateTime::createFromFormat('m/d/Y', $csvValue)) {
                $date = (new Date())
                    ->setYear((int) $csvDate->format('Y'))
                    ->setMonth((int) $csvDate->format('m'))
                    ->setDay((int) $csvDate->format('d'));
                return (new Value())
                    ->setDateValue($date);
            } else {
                return (new Value())
                    ->setStringValue($csvValue);
            }
        }, explode(',', $csvRow));

        return (new Row())
            ->setValues($rowValues);
    }, $csvRows);

    // Convert date fields into protobuf objects
    $dateFields = array_map(function ($dateFieldName) {
        return (new FieldId())->setName($dateFieldName);
    }, explode(',', $dateFieldNames));

    // Construct the table object
    $table = (new Table())
        ->setHeaders($tableHeaders)
        ->setRows($tableRows);

    $item = (new ContentItem())
        ->setTable($table);

    // Construct dateShiftConfig
    $dateShiftConfig = (new DateShiftConfig())
        ->setLowerBoundDays($lowerBoundDays)
        ->setUpperBoundDays($upperBoundDays);

    if ($contextFieldName && $keyName && $wrappedKey) {
        $contextField = (new FieldId())
            ->setName($contextFieldName);

        // Create the wrapped crypto key configuration object
        $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
            ->setWrappedKey(base64_decode($wrappedKey))
            ->setCryptoKeyName($keyName);

        $cryptoKey = (new CryptoKey())
            ->setKmsWrapped($kmsWrappedCryptoKey);

        $dateShiftConfig
            ->setContext($contextField)
            ->setCryptoKey($cryptoKey);
    } elseif ($contextFieldName || $keyName || $wrappedKey) {
        throw new Exception('You must set either ALL or NONE of {$contextFieldName, $keyName, $wrappedKey}!');
    }

    // Create the information transform configuration objects
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setDateShiftConfig($dateShiftConfig);

    $fieldTransformation = (new FieldTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setFields($dateFields);

    $recordTransformations = (new RecordTransformations())
        ->setFieldTransformations([$fieldTransformation]);

    // Create the deidentification configuration object
    $deidentifyConfig = (new DeidentifyConfig())
        ->setRecordTransformations($recordTransformations);

    $parent = "projects/$callingProjectId/locations/global";

    // Run request
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($item);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Check for errors
    foreach ($response->getOverview()->getTransformationSummaries() as $summary) {
        foreach ($summary->getResults() as $result) {
            if ($details = $result->getDetails()) {
                printf('Error: %s' . PHP_EOL, $details);
                return;
            }
        }
    }

    // Save the results to a file
    $csvRef = fopen($outputCsvFile, 'w');
    fputcsv($csvRef, $csvHeaders);
    foreach ($response->getItem()->getTable()->getRows() as $tableRow) {
        $values = array_map(function ($tableValue) {
            if ($tableValue->getStringValue()) {
                return $tableValue->getStringValue();
            }
            $protoDate = $tableValue->getDateValue();
            $date = mktime(0, 0, 0, $protoDate->getMonth(), $protoDate->getDay(), $protoDate->getYear());
            return strftime('%D', $date);
        }, iterator_to_array($tableRow->getValues()));
        fputcsv($csvRef, $values);
    };
    fclose($csvRef);
    printf('Deidentified dates written to %s' . PHP_EOL, $outputCsvFile);
}

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using System.IO;
using System.Linq;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;

public class DeidentifyWithDateShift
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string inputCsvFilePath,
        int lowerBoundDays,
        int upperBoundDays,
        string dateFields,
        string contextField,
        string keyName,
        string wrappedKey)
    {
        var hasKeyName = !string.IsNullOrEmpty(keyName);
        var hasWrappedKey = !string.IsNullOrEmpty(wrappedKey);
        var hasContext = !string.IsNullOrEmpty(contextField);
        bool allFieldsSet = hasKeyName && hasWrappedKey && hasContext;
        bool noFieldsSet = !hasKeyName && !hasWrappedKey && !hasContext;
        if (!(allFieldsSet || noFieldsSet))
        {
            throw new ArgumentException("Must specify ALL or NONE of: {contextFieldId, keyName, wrappedKey}!");
        }

        var dlp = DlpServiceClient.Create();

        // Read file
        var csvLines = File.ReadAllLines(inputCsvFilePath);
        var csvHeaders = csvLines[0].Split(',');
        var csvRows = csvLines.Skip(1).ToArray();

        // Convert dates to protobuf format, and everything else to a string
        var protoHeaders = csvHeaders.Select(header => new FieldId { Name = header });
        var protoRows = csvRows.Select(csvRow =>
        {
            var rowValues = csvRow.Split(',');
            var protoValues = rowValues.Select(rowValue =>
               System.DateTime.TryParse(rowValue, out var parsedDate)
               ? new Value { DateValue = Google.Type.Date.FromDateTime(parsedDate) }
               : new Value { StringValue = rowValue });

            var rowObject = new Table.Types.Row();
            rowObject.Values.Add(protoValues);
            return rowObject;
        });

        var dateFieldList = dateFields
            .Split(',')
            .Select(field => new FieldId { Name = field });

        // Construct + execute the request
        var dateShiftConfig = new DateShiftConfig
        {
            LowerBoundDays = lowerBoundDays,
            UpperBoundDays = upperBoundDays
        };

        dateShiftConfig.Context = new FieldId { Name = contextField };
        dateShiftConfig.CryptoKey = new CryptoKey
        {
            KmsWrapped = new KmsWrappedCryptoKey
            {
                WrappedKey = ByteString.FromBase64(wrappedKey),
                CryptoKeyName = keyName
            }
        };

        var deidConfig = new DeidentifyConfig
        {
            RecordTransformations = new RecordTransformations
            {
                FieldTransformations =
                {
                    new FieldTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            DateShiftConfig = dateShiftConfig
                        },
                        Fields = { dateFieldList }
                    }
                }
            }
        };

        var response = dlp.DeidentifyContent(
            new DeidentifyContentRequest
            {
                Parent = new LocationName(projectId, "global").ToString(),
                DeidentifyConfig = deidConfig,
                Item = new ContentItem
                {
                    Table = new Table
                    {
                        Headers = { protoHeaders },
                        Rows = { protoRows }
                    }
                }
            });

        return response;
    }
}

Extracción de tiempo

Ejecutar el objeto de extracción de tiempo (TimePartConfig en la API de DLP) conserva una parte de un valor coincidente que, en una fecha, una hora o una marca de tiempo, conserva una parte de un valor coincidente. Especifica a la Protección de datos sensibles qué tipo de valor de tiempo deseas extraer, incluidos el año, el mes, el día del mes y demás (que se enumeran en el objeto TimePart).

Por ejemplo, supongamos que configuraste una transformación timePartConfig mediante la configuración de la parte del tiempo que se debe extraer para el valor YEAR. Después de enviar los datos de la primera columna que se encuentra a continuación a Sensitive Data Protection, obtendrías los valores transformados de la segunda columna:

Valores originales	Valores transformados
`9/21/1976`	`1976`
`6/7/1945`	`1945`
`1/20/2009`	`2009`
`7/4/1776`	`1776`
`8/1/1984`	`1984`
`4/21/1982`	`1982`

C#

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyWithTimeExtraction
{
    public static Table Deidentify(
        string projectId,
        Table tableToInspect = null)
    {
        // Instantiate the dlp client.
        var dlp = DlpServiceClient.Create();

        // Construct the table if null.
        if (tableToInspect == null)
        {
            var row1 = new Value[]
            {
                new Value
                {
                    DateValue = new Google.Type.Date { Day = 10, Month = 6, Year = 2020 }
                }
            };
            var row2 = new Value[]
            {
                new Value
                {
                    DateValue = new Google.Type.Date { Day = 23, Month = 12, Year = 2022 }
                }
            };
            var row3 = new Value[]
            {
                new Value
                {
                    DateValue = new Google.Type.Date { Day = 1, Month = 1, Year = 2023 }
                }
            };

            tableToInspect = new Table
            {
                Headers = { new FieldId { Name = "Date" } },
                Rows =
                {
                    new Table.Types.Row { Values = { row1 } },
                    new Table.Types.Row { Values = { row2 } },
                    new Table.Types.Row { Values = { row3 } }
                }
            };
        }

        // Construct the table content item.
        var contentItem = new ContentItem { Table = tableToInspect };

        // Construct the time part config to deidentify specific value from the date.
        var timePartConfig = new TimePartConfig
        {
            PartToExtract = TimePartConfig.Types.TimePart.Year
        };

        // Construct the deidentify config using time part config created above.
        var deidentifyConfig = new DeidentifyConfig
        {
            RecordTransformations = new RecordTransformations
            {
                FieldTransformations =
                {
                    new FieldTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            TimePartConfig = timePartConfig
                        }
                    }
                }
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            Item = contentItem
        };

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Inspect the response.
        Console.Write(response.Item.Table);

        return response.Item.Table;
    }
}

Go

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deIdentifyTimeExtract De-identifies a table by extracting specific parts
// of the time (year in this case) from designated fields.
func deIdentifyTimeExtract(w io.Writer, projectID string) error {

	row1 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "Ann"}},
			{Type: &dlppb.Value_StringValue{StringValue: "01/01/1970"}},
			{Type: &dlppb.Value_StringValue{StringValue: "4532908762519852"}},
			{Type: &dlppb.Value_StringValue{StringValue: "07/21/1996"}},
		},
	}

	row2 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "James"}},
			{Type: &dlppb.Value_StringValue{StringValue: "03/06/1988"}},
			{Type: &dlppb.Value_StringValue{StringValue: "4301261899725540"}},
			{Type: &dlppb.Value_StringValue{StringValue: "04/09/2001"}},
		},
	}

	// Specify the table to de-identify.
	tableToDeidentify := &dlppb.Table{
		Headers: []*dlppb.FieldId{
			{Name: "Name"},
			{Name: "Birth Date"},
			{Name: "Credit Card"},
			{Name: "Register Date"},
		},
		Rows: []*dlppb.Table_Row{
			{Values: row1.Values},
			{Values: row2.Values},
		},
	}

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify what content you want the service to de-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Table{
			Table: tableToDeidentify,
		},
	}

	// Specify the time part to extract.
	timePartConfig := &dlppb.PrimitiveTransformation_TimePartConfig{
		TimePartConfig: &dlppb.TimePartConfig{
			PartToExtract: dlppb.TimePartConfig_YEAR,
		},
	}

	transformation := &dlppb.PrimitiveTransformation{
		Transformation: timePartConfig,
	}

	// Specify which fields the TimePart should apply too.
	dateFields := []*dlppb.FieldId{
		{Name: "Birth Date"},
		{Name: "Register Date"},
	}

	fieldTransformation := &dlppb.FieldTransformation{
		Fields: dateFields,
		Transformation: &dlppb.FieldTransformation_PrimitiveTransformation{
			PrimitiveTransformation: transformation,
		},
	}

	recordTransformations := []*dlppb.RecordTransformations{
		{
			FieldTransformations: []*dlppb.FieldTransformation{
				fieldTransformation,
			},
		},
	}

	// Specify the config for the de-identify request.
	deidentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_RecordTransformations{
			RecordTransformations: recordTransformations[0],
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: deidentifyConfig,
		Item:             contentItem,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the results.
	fmt.Fprintf(w, "Table after de-identification : %v", resp.GetItem().GetTable())
	return nil
}

Java

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.FieldId;
import com.google.privacy.dlp.v2.FieldTransformation;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.TimePartConfig;
import com.google.privacy.dlp.v2.Value;
import java.io.IOException;
import java.util.Arrays;
import java.util.List;

public class DeIdentifyWithTimeExtraction {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    Table tableToDeIdentify =
        Table.newBuilder()
            .addHeaders(FieldId.newBuilder().setName("Name").build())
            .addHeaders(FieldId.newBuilder().setName("Birth Date").build())
            .addHeaders(FieldId.newBuilder().setName("Credit Card").build())
            .addHeaders(FieldId.newBuilder().setName("Register Date").build())
            .addRows(
                Table.Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("Alex").build())
                    .addValues(Value.newBuilder().setStringValue("01/01/1970").build())
                    .addValues(Value.newBuilder().setStringValue("4532908762519852").build())
                    .addValues(Value.newBuilder().setStringValue("07/21/1996").build())
                    .build())
            .addRows(
                Table.Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("Charlie").build())
                    .addValues(Value.newBuilder().setStringValue("03/06/1988").build())
                    .addValues(Value.newBuilder().setStringValue("4301261899725540").build())
                    .addValues(Value.newBuilder().setStringValue("04/09/2001").build())
                    .build())
            .build();
    deIdentifyWithTimeExtraction(projectId, tableToDeIdentify);
  }

  // De-identifies a table by extracting specific parts of the time (year in this case) from
  // designated fields.
  public static Table deIdentifyWithTimeExtraction(String projectId, Table tableToDeIdentify)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to de-identify.
      ContentItem item = ContentItem.newBuilder().setTable(tableToDeIdentify).build();

      // Specify the time part to extract.
      TimePartConfig timePartConfig =
          TimePartConfig.newBuilder().setPartToExtract(TimePartConfig.TimePart.YEAR).build();

      PrimitiveTransformation transformation =
          PrimitiveTransformation.newBuilder().setTimePartConfig(timePartConfig).build();

      // Specify which fields the TimePart should apply too.
      List<FieldId> dateFields =
          Arrays.asList(
              FieldId.newBuilder().setName("Birth Date").build(),
              FieldId.newBuilder().setName("Register Date").build());

      FieldTransformation fieldTransformation =
          FieldTransformation.newBuilder()
              .addAllFields(dateFields)
              .setPrimitiveTransformation(transformation)
              .build();

      RecordTransformations recordTransformations =
          RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build();

      // Construct the configuration for the de-id request and list all desired transformations.
      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setRecordTransformations(recordTransformations).build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);
      System.out.println("Table after de-identification: " + response.getItem().getTable());
      return response.getItem().getTable();
    }
  }
}

Node.js

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to de-identify
// const string = 'My BirthDay is on 9/21/1976';

// Table to de-identify
const tablularData = {
  headers: [
    {name: 'Name'},
    {name: 'Birth Date'},
    {name: 'Credit Card'},
    {name: 'Register Date'},
  ],
  rows: [
    {
      values: [
        {stringValue: 'Ann'},
        {stringValue: '01/01/1970'},
        {stringValue: '4532908762519852'},
        {stringValue: '07/21/1996'},
      ],
    },
    {
      values: [
        {stringValue: 'James'},
        {stringValue: '03/06/1988'},
        {stringValue: '4301261899725540'},
        {stringValue: '04/09/2001'},
      ],
    },
  ],
};

async function deidentifyWithTimeExtraction() {
  // Specify transformation to extract a portion of date.
  const primitiveTransformation = {
    timePartConfig: {
      partToExtract: 'YEAR',
    },
  };

  // Specify which fields the TimePart should apply too
  const dateFields = [{name: 'Birth Date'}, {name: 'Register Date'}];

  // Construct de-identification request to be sent by client.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      recordTransformations: {
        fieldTransformations: [
          {
            fields: dateFields,
            primitiveTransformation,
          },
        ],
      },
    },
    item: {
      table: tablularData,
    },
  };

  // Use the client to send the API request.
  const [response] = await dlp.deidentifyContent(request);

  // Print results.
  console.log(
    `Table after de-identification: ${JSON.stringify(response.item.table)}`
  );
}

deidentifyWithTimeExtraction();

PHP

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.


use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\FieldTransformation;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\TimePartConfig;
use Google\Cloud\Dlp\V2\TimePartConfig\TimePart;
use Google\Cloud\Dlp\V2\Value;

/**
 * De-identify data using time extraction.
 * Performing time extraction object preserves a portion of a matched value that on a date, a time,
 * or a timestamp preserves a portion of a matched value. You specify to Cloud DLP what kind of
 * time value you want to extract, including year, month, day of the month, and so on.
 *
 * https://cloud.google.com/dlp/docs/concepts-bucketing#bucketing_scenario_1
 *
 * @param string $callingProjectId      The Google Cloud project id to use as a parent resource.
 * @param string $inputCsvFile          The input file(csv) path to deidentify.
 * @param string $outputCsvFile         The oupt file path to save deidentify content.
 *
 */
function deidentify_time_extract(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $inputCsvFile = './test/data/table3.csv',
    string $outputCsvFile = './test/data/deidentify_time_extract_output.csv'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Read a CSV file.
    $csvLines = file($inputCsvFile, FILE_IGNORE_NEW_LINES);
    $csvHeaders = explode(',', $csvLines[0]);
    $csvRows = array_slice($csvLines, 1);

    // Convert CSV file into protobuf objects.
    $tableHeaders = array_map(function ($csvHeader) {
        return (new FieldId)
            ->setName($csvHeader);
    }, $csvHeaders);

    $tableRows = array_map(function ($csvRow) {
        $rowValues = array_map(function ($csvValue) {
            return (new Value())
                ->setStringValue($csvValue);
        }, explode(',', $csvRow));
        return (new Row())
            ->setValues($rowValues);
    }, $csvRows);

    // Construct the table object.
    $tableToDeIdentify = (new Table())
        ->setHeaders($tableHeaders)
        ->setRows($tableRows);

    // Specify what content you want the service to de-identify.
    $contentItem = (new ContentItem())
        ->setTable($tableToDeIdentify);

    // Specify the time part to extract.
    $timePartConfig = (new TimePartConfig())
        ->setPartToExtract(TimePart::YEAR);

    $primitiveTransformation = (new PrimitiveTransformation())
        ->setTimePartConfig($timePartConfig);

    // Specify which fields the TimePart should apply too.
    $fieldIds = [
        (new FieldId())
            ->setName('Birth_Date'),
        (new FieldId())
            ->setName('Register_Date')
    ];

    $fieldTransformation = (new FieldTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setFields($fieldIds);

    $recordTransformations = (new RecordTransformations())
        ->setFieldTransformations([$fieldTransformation]);

    // Construct the configuration for the de-id request and list all desired transformations.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setRecordTransformations($recordTransformations);

    $parent = "projects/$callingProjectId/locations/global";

    // Send the request and receive response from the service.
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($contentItem);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results.
    $csvRef = fopen($outputCsvFile, 'w');
    fputcsv($csvRef, $csvHeaders);
    foreach ($response->getItem()->getTable()->getRows() as $tableRow) {
        $values = array_map(function ($tableValue) {
            return $tableValue->getStringValue();
        }, iterator_to_array($tableRow->getValues()));
        fputcsv($csvRef, $values);
    };
    printf('Table after deidentify (File Location): %s', $outputCsvFile);
}

Python

Para obtener información sobre cómo instalar y usar la biblioteca cliente de Protección de datos sensibles, consulta Bibliotecas cliente de Protección de datos sensibles.

import csv
from datetime import datetime
from typing import List

import google.cloud.dlp


def deidentify_with_time_extract(
    project: str,
    date_fields: List[str],
    input_csv_file: str,
    output_csv_file: str,
) -> None:
    """Uses the Data Loss Prevention API to deidentify dates in a CSV file through
     time part extraction.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        date_fields: A list of (date) fields in CSV file to de-identify
            through time extraction. Example: ['birth_date', 'register_date'].
            Date values in format: mm/DD/YYYY are considered as part of this
            sample.
        input_csv_file: The path to the CSV file to deidentify. The first row
            of the file must specify column names, and all other rows must
            contain valid values.
        output_csv_file: The output file path to save the time extracted data.
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert date field list to Protobuf type.
    def map_fields(field):
        return {"name": field}

    if date_fields:
        date_fields = map(map_fields, date_fields)
    else:
        date_fields = []

    csv_lines = []
    with open(input_csv_file) as csvfile:
        reader = csv.reader(csvfile)
        for row in reader:
            csv_lines.append(row)

    #  Helper function for converting CSV rows to Protobuf types
    def map_headers(header):
        return {"name": header}

    def map_data(value):
        try:
            date = datetime.strptime(value, "%m/%d/%Y")
            return {
                "date_value": {"year": date.year, "month": date.month, "day": date.day}
            }
        except ValueError:
            return {"string_value": value}

    def map_rows(row):
        return {"values": map(map_data, row)}

    # Using the helper functions, convert CSV rows to protobuf-compatible
    # dictionaries.
    csv_headers = map(map_headers, csv_lines[0])
    csv_rows = map(map_rows, csv_lines[1:])

    # Construct the table dictionary.
    table = {"headers": csv_headers, "rows": csv_rows}

    # Construct the `item` for table to de-identify.
    item = {"table": table}

    # Construct deidentify configuration dictionary.
    deidentify_config = {
        "record_transformations": {
            "field_transformations": [
                {
                    "primitive_transformation": {
                        "time_part_config": {"part_to_extract": "YEAR"}
                    },
                    "fields": date_fields,
                }
            ]
        }
    }

    # Write to CSV helper methods.
    def write_header(header):
        return header.name

    def write_data(data):
        return data.string_value or "{}/{}/{}".format(
            data.date_value.month,
            data.date_value.day,
            data.date_value.year,
        )

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "item": item,
        }
    )

    # Print the result.
    print(f"Table after de-identification: {response.item.table}")

    # Write results to CSV file.
    with open(output_csv_file, "w") as csvfile:
        write_file = csv.writer(csvfile, delimiter=",")
        write_file.writerow(map(write_header, response.item.table.headers))
        for row in response.item.table.rows:
            write_file.writerow(map(write_data, row.values))

    # Print status.
    print(f"Successfully saved date-extracted output to {output_csv_file}")