Class: Google::Privacy::Dlp::V2::PrivacyMetric::KMapEstimationConfig

Inherits:
Object
  • Object
show all
Defined in:
lib/google/cloud/dlp/v2/doc/google/privacy/dlp/v2/dlp.rb

Overview

Reidentifiability metric. This corresponds to a risk model similar to what is called "journalist risk" in the literature, except the attack dataset is statistically modeled instead of being perfectly known. This can be done using publicly available data (like the US Census), or using a custom statistical model (indicated as one or several BigQuery tables), or by extrapolating from the distribution of values in the input dataset. A column with a semantic tag attached.

Defined Under Namespace

Classes: AuxiliaryTable, TaggedField

Instance Attribute Summary collapse

Instance Attribute Details

#auxiliary_tables ⇒ Array<Google::Privacy::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable>

Returns Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.

Returns:



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# File 'lib/google/cloud/dlp/v2/doc/google/privacy/dlp/v2/dlp.rb', line 800

class KMapEstimationConfig
  # @!attribute [rw] field
  #   @return [Google::Privacy::Dlp::V2::FieldId]
  #     Identifies the column. [required]
  # @!attribute [rw] info_type
  #   @return [Google::Privacy::Dlp::V2::InfoType]
  #     A column can be tagged with a InfoType to use the relevant public
  #     dataset as a statistical model of population, if available. We
  #     currently support US ZIP codes, region codes, ages and genders.
  #     To programmatically obtain the list of supported InfoTypes, use
  #     ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
  # @!attribute [rw] custom_tag
  #   @return [String]
  #     A column can be tagged with a custom tag. In this case, the user must
  #     indicate an auxiliary table that contains statistical information on
  #     the possible values of this column (below).
  # @!attribute [rw] inferred
  #   @return [Google::Protobuf::Empty]
  #     If no semantic tag is indicated, we infer the statistical model from
  #     the distribution of values in the input data
  class TaggedField; end

  # An auxiliary table contains statistical information on the relative
  # frequency of different quasi-identifiers values. It has one or several
  # quasi-identifiers columns, and one column that indicates the relative
  # frequency of each quasi-identifier tuple.
  # If a tuple is present in the data but not in the auxiliary table, the
  # corresponding relative frequency is assumed to be zero (and thus, the
  # tuple is highly reidentifiable).
  # @!attribute [rw] table
  #   @return [Google::Privacy::Dlp::V2::BigQueryTable]
  #     Auxiliary table location. [required]
  # @!attribute [rw] quasi_ids
  #   @return [Array<Google::Privacy::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable::QuasiIdField>]
  #     Quasi-identifier columns. [required]
  # @!attribute [rw] relative_frequency
  #   @return [Google::Privacy::Dlp::V2::FieldId]
  #     The relative frequency column must contain a floating-point number
  #     between 0 and 1 (inclusive). Null values are assumed to be zero.
  #     [required]
  class AuxiliaryTable
    # A quasi-identifier column has a custom_tag, used to know which column
    # in the data corresponds to which column in the statistical model.
    # @!attribute [rw] field
    #   @return [Google::Privacy::Dlp::V2::FieldId]
    # @!attribute [rw] custom_tag
    #   @return [String]
    class QuasiIdField; end
  end
end

#quasi_ids ⇒ Array<Google::Privacy::Dlp::V2::PrivacyMetric::KMapEstimationConfig::TaggedField>

Returns Fields considered to be quasi-identifiers. No two columns can have the same tag. [required].

Returns:



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# File 'lib/google/cloud/dlp/v2/doc/google/privacy/dlp/v2/dlp.rb', line 800

class KMapEstimationConfig
  # @!attribute [rw] field
  #   @return [Google::Privacy::Dlp::V2::FieldId]
  #     Identifies the column. [required]
  # @!attribute [rw] info_type
  #   @return [Google::Privacy::Dlp::V2::InfoType]
  #     A column can be tagged with a InfoType to use the relevant public
  #     dataset as a statistical model of population, if available. We
  #     currently support US ZIP codes, region codes, ages and genders.
  #     To programmatically obtain the list of supported InfoTypes, use
  #     ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
  # @!attribute [rw] custom_tag
  #   @return [String]
  #     A column can be tagged with a custom tag. In this case, the user must
  #     indicate an auxiliary table that contains statistical information on
  #     the possible values of this column (below).
  # @!attribute [rw] inferred
  #   @return [Google::Protobuf::Empty]
  #     If no semantic tag is indicated, we infer the statistical model from
  #     the distribution of values in the input data
  class TaggedField; end

  # An auxiliary table contains statistical information on the relative
  # frequency of different quasi-identifiers values. It has one or several
  # quasi-identifiers columns, and one column that indicates the relative
  # frequency of each quasi-identifier tuple.
  # If a tuple is present in the data but not in the auxiliary table, the
  # corresponding relative frequency is assumed to be zero (and thus, the
  # tuple is highly reidentifiable).
  # @!attribute [rw] table
  #   @return [Google::Privacy::Dlp::V2::BigQueryTable]
  #     Auxiliary table location. [required]
  # @!attribute [rw] quasi_ids
  #   @return [Array<Google::Privacy::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable::QuasiIdField>]
  #     Quasi-identifier columns. [required]
  # @!attribute [rw] relative_frequency
  #   @return [Google::Privacy::Dlp::V2::FieldId]
  #     The relative frequency column must contain a floating-point number
  #     between 0 and 1 (inclusive). Null values are assumed to be zero.
  #     [required]
  class AuxiliaryTable
    # A quasi-identifier column has a custom_tag, used to know which column
    # in the data corresponds to which column in the statistical model.
    # @!attribute [rw] field
    #   @return [Google::Privacy::Dlp::V2::FieldId]
    # @!attribute [rw] custom_tag
    #   @return [String]
    class QuasiIdField; end
  end
end

#region_code ⇒ String

Returns ISO 3166-1 alpha-2 region code to use in the statistical modeling. Required if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

Returns:

  • (String) —

    ISO 3166-1 alpha-2 region code to use in the statistical modeling. Required if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.



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# File 'lib/google/cloud/dlp/v2/doc/google/privacy/dlp/v2/dlp.rb', line 800

class KMapEstimationConfig
  # @!attribute [rw] field
  #   @return [Google::Privacy::Dlp::V2::FieldId]
  #     Identifies the column. [required]
  # @!attribute [rw] info_type
  #   @return [Google::Privacy::Dlp::V2::InfoType]
  #     A column can be tagged with a InfoType to use the relevant public
  #     dataset as a statistical model of population, if available. We
  #     currently support US ZIP codes, region codes, ages and genders.
  #     To programmatically obtain the list of supported InfoTypes, use
  #     ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
  # @!attribute [rw] custom_tag
  #   @return [String]
  #     A column can be tagged with a custom tag. In this case, the user must
  #     indicate an auxiliary table that contains statistical information on
  #     the possible values of this column (below).
  # @!attribute [rw] inferred
  #   @return [Google::Protobuf::Empty]
  #     If no semantic tag is indicated, we infer the statistical model from
  #     the distribution of values in the input data
  class TaggedField; end

  # An auxiliary table contains statistical information on the relative
  # frequency of different quasi-identifiers values. It has one or several
  # quasi-identifiers columns, and one column that indicates the relative
  # frequency of each quasi-identifier tuple.
  # If a tuple is present in the data but not in the auxiliary table, the
  # corresponding relative frequency is assumed to be zero (and thus, the
  # tuple is highly reidentifiable).
  # @!attribute [rw] table
  #   @return [Google::Privacy::Dlp::V2::BigQueryTable]
  #     Auxiliary table location. [required]
  # @!attribute [rw] quasi_ids
  #   @return [Array<Google::Privacy::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable::QuasiIdField>]
  #     Quasi-identifier columns. [required]
  # @!attribute [rw] relative_frequency
  #   @return [Google::Privacy::Dlp::V2::FieldId]
  #     The relative frequency column must contain a floating-point number
  #     between 0 and 1 (inclusive). Null values are assumed to be zero.
  #     [required]
  class AuxiliaryTable
    # A quasi-identifier column has a custom_tag, used to know which column
    # in the data corresponds to which column in the statistical model.
    # @!attribute [rw] field
    #   @return [Google::Privacy::Dlp::V2::FieldId]
    # @!attribute [rw] custom_tag
    #   @return [String]
    class QuasiIdField; end
  end
end