Class KAnonymityConfig (3.9.1)

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KAnonymityConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

k-anonymity metric, used for analysis of reidentification risk.

Attributes

NameDescription
quasi_ids Sequence[google.cloud.dlp_v2.types.FieldId]
Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
entity_id google.cloud.dlp_v2.types.EntityId
Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.

Inheritance

builtins.object > proto.message.Message > KAnonymityConfig