Class: Google::Cloud::Dlp::V2::PrivacyMetric
- Inherits:
-
Object
- Object
- Google::Cloud::Dlp::V2::PrivacyMetric
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/privacy/dlp/v2/dlp.rb
Overview
Privacy metric to compute for reidentification risk analysis.
Defined Under Namespace
Classes: CategoricalStatsConfig, DeltaPresenceEstimationConfig, KAnonymityConfig, KMapEstimationConfig, LDiversityConfig, NumericalStatsConfig
Instance Attribute Summary collapse
-
#categorical_stats_config ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric::CategoricalStatsConfig
Categorical stats.
-
#delta_presence_estimation_config ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric::DeltaPresenceEstimationConfig
Delta-presence.
-
#k_anonymity_config ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric::KAnonymityConfig
K-anonymity.
-
#k_map_estimation_config ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig
K-map.
-
#l_diversity_config ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric::LDiversityConfig
L-diversity.
-
#numerical_stats_config ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric::NumericalStatsConfig
Numerical stats.
Instance Attribute Details
#categorical_stats_config ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric::CategoricalStatsConfig
Returns Categorical stats.
1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 |
# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1395 class PrivacyMetric include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Compute numerical stats over an individual column, including # min, max, and quantiles. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Field to compute numerical stats on. Supported types are # integer, float, date, datetime, timestamp, time. class NumericalStatsConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Compute numerical stats over an individual column, including # number of distinct values and value count distribution. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Field to compute categorical stats on. All column types are # supported except for arrays and structs. However, it may be more # informative to use NumericalStats when the field type is supported, # depending on the data. class CategoricalStatsConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # k-anonymity metric, used for analysis of reidentification risk. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::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. # @!attribute [rw] entity_id # @return [::Google::Cloud::Dlp::V2::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. class KAnonymityConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # l-diversity metric, used for analysis of reidentification risk. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::FieldId>] # Set of quasi-identifiers indicating how equivalence classes are # defined for the l-diversity computation. When multiple fields are # specified, they are considered a single composite key. # @!attribute [rw] sensitive_attribute # @return [::Google::Cloud::Dlp::V2::FieldId] # Sensitive field for computing the l-value. class LDiversityConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # 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. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::TaggedField>] # Required. Fields considered to be quasi-identifiers. No two columns can have the # same tag. # @!attribute [rw] region_code # @return [::String] # ISO 3166-1 alpha-2 region code to use in the statistical modeling. # Set if no column is tagged with a region-specific InfoType (like # US_ZIP_5) or a region code. # @!attribute [rw] auxiliary_tables # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable>] # 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. class KMapEstimationConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # A column with a semantic tag attached. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Required. Identifies the column. # @!attribute [rw] info_type # @return [::Google::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::Dlp::V2::BigQueryTable] # Required. Auxiliary table location. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable::QuasiIdField>] # Required. Quasi-identifier columns. # @!attribute [rw] relative_frequency # @return [::Google::Cloud::Dlp::V2::FieldId] # Required. The relative frequency column must contain a floating-point number # between 0 and 1 (inclusive). Null values are assumed to be zero. class AuxiliaryTable include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # 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::Cloud::Dlp::V2::FieldId] # Identifies the column. # @!attribute [rw] custom_tag # @return [::String] # A auxiliary field. class QuasiIdField include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end end # δ-presence metric, used to estimate how likely it is for an attacker to # figure out that one given individual appears in a de-identified dataset. # Similarly to the k-map metric, we cannot compute δ-presence exactly without # knowing the attack dataset, so we use a statistical model instead. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::QuasiId>] # Required. Fields considered to be quasi-identifiers. No two fields can have the # same tag. # @!attribute [rw] region_code # @return [::String] # ISO 3166-1 alpha-2 region code to use in the statistical modeling. # Set if no column is tagged with a region-specific InfoType (like # US_ZIP_5) or a region code. # @!attribute [rw] auxiliary_tables # @return [::Array<::Google::Cloud::Dlp::V2::StatisticalTable>] # Several auxiliary tables can be used in the analysis. Each custom_tag # used to tag a quasi-identifiers field must appear in exactly one # field of one auxiliary table. class DeltaPresenceEstimationConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#delta_presence_estimation_config ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric::DeltaPresenceEstimationConfig
Returns delta-presence.
1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 |
# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1395 class PrivacyMetric include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Compute numerical stats over an individual column, including # min, max, and quantiles. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Field to compute numerical stats on. Supported types are # integer, float, date, datetime, timestamp, time. class NumericalStatsConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Compute numerical stats over an individual column, including # number of distinct values and value count distribution. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Field to compute categorical stats on. All column types are # supported except for arrays and structs. However, it may be more # informative to use NumericalStats when the field type is supported, # depending on the data. class CategoricalStatsConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # k-anonymity metric, used for analysis of reidentification risk. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::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. # @!attribute [rw] entity_id # @return [::Google::Cloud::Dlp::V2::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. class KAnonymityConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # l-diversity metric, used for analysis of reidentification risk. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::FieldId>] # Set of quasi-identifiers indicating how equivalence classes are # defined for the l-diversity computation. When multiple fields are # specified, they are considered a single composite key. # @!attribute [rw] sensitive_attribute # @return [::Google::Cloud::Dlp::V2::FieldId] # Sensitive field for computing the l-value. class LDiversityConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # 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. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::TaggedField>] # Required. Fields considered to be quasi-identifiers. No two columns can have the # same tag. # @!attribute [rw] region_code # @return [::String] # ISO 3166-1 alpha-2 region code to use in the statistical modeling. # Set if no column is tagged with a region-specific InfoType (like # US_ZIP_5) or a region code. # @!attribute [rw] auxiliary_tables # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable>] # 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. class KMapEstimationConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # A column with a semantic tag attached. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Required. Identifies the column. # @!attribute [rw] info_type # @return [::Google::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::Dlp::V2::BigQueryTable] # Required. Auxiliary table location. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable::QuasiIdField>] # Required. Quasi-identifier columns. # @!attribute [rw] relative_frequency # @return [::Google::Cloud::Dlp::V2::FieldId] # Required. The relative frequency column must contain a floating-point number # between 0 and 1 (inclusive). Null values are assumed to be zero. class AuxiliaryTable include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # 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::Cloud::Dlp::V2::FieldId] # Identifies the column. # @!attribute [rw] custom_tag # @return [::String] # A auxiliary field. class QuasiIdField include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end end # δ-presence metric, used to estimate how likely it is for an attacker to # figure out that one given individual appears in a de-identified dataset. # Similarly to the k-map metric, we cannot compute δ-presence exactly without # knowing the attack dataset, so we use a statistical model instead. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::QuasiId>] # Required. Fields considered to be quasi-identifiers. No two fields can have the # same tag. # @!attribute [rw] region_code # @return [::String] # ISO 3166-1 alpha-2 region code to use in the statistical modeling. # Set if no column is tagged with a region-specific InfoType (like # US_ZIP_5) or a region code. # @!attribute [rw] auxiliary_tables # @return [::Array<::Google::Cloud::Dlp::V2::StatisticalTable>] # Several auxiliary tables can be used in the analysis. Each custom_tag # used to tag a quasi-identifiers field must appear in exactly one # field of one auxiliary table. class DeltaPresenceEstimationConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#k_anonymity_config ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric::KAnonymityConfig
Returns K-anonymity.
1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 |
# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1395 class PrivacyMetric include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Compute numerical stats over an individual column, including # min, max, and quantiles. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Field to compute numerical stats on. Supported types are # integer, float, date, datetime, timestamp, time. class NumericalStatsConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Compute numerical stats over an individual column, including # number of distinct values and value count distribution. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Field to compute categorical stats on. All column types are # supported except for arrays and structs. However, it may be more # informative to use NumericalStats when the field type is supported, # depending on the data. class CategoricalStatsConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # k-anonymity metric, used for analysis of reidentification risk. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::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. # @!attribute [rw] entity_id # @return [::Google::Cloud::Dlp::V2::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. class KAnonymityConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # l-diversity metric, used for analysis of reidentification risk. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::FieldId>] # Set of quasi-identifiers indicating how equivalence classes are # defined for the l-diversity computation. When multiple fields are # specified, they are considered a single composite key. # @!attribute [rw] sensitive_attribute # @return [::Google::Cloud::Dlp::V2::FieldId] # Sensitive field for computing the l-value. class LDiversityConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # 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. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::TaggedField>] # Required. Fields considered to be quasi-identifiers. No two columns can have the # same tag. # @!attribute [rw] region_code # @return [::String] # ISO 3166-1 alpha-2 region code to use in the statistical modeling. # Set if no column is tagged with a region-specific InfoType (like # US_ZIP_5) or a region code. # @!attribute [rw] auxiliary_tables # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable>] # 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. class KMapEstimationConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # A column with a semantic tag attached. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Required. Identifies the column. # @!attribute [rw] info_type # @return [::Google::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::Dlp::V2::BigQueryTable] # Required. Auxiliary table location. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable::QuasiIdField>] # Required. Quasi-identifier columns. # @!attribute [rw] relative_frequency # @return [::Google::Cloud::Dlp::V2::FieldId] # Required. The relative frequency column must contain a floating-point number # between 0 and 1 (inclusive). Null values are assumed to be zero. class AuxiliaryTable include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # 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::Cloud::Dlp::V2::FieldId] # Identifies the column. # @!attribute [rw] custom_tag # @return [::String] # A auxiliary field. class QuasiIdField include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end end # δ-presence metric, used to estimate how likely it is for an attacker to # figure out that one given individual appears in a de-identified dataset. # Similarly to the k-map metric, we cannot compute δ-presence exactly without # knowing the attack dataset, so we use a statistical model instead. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::QuasiId>] # Required. Fields considered to be quasi-identifiers. No two fields can have the # same tag. # @!attribute [rw] region_code # @return [::String] # ISO 3166-1 alpha-2 region code to use in the statistical modeling. # Set if no column is tagged with a region-specific InfoType (like # US_ZIP_5) or a region code. # @!attribute [rw] auxiliary_tables # @return [::Array<::Google::Cloud::Dlp::V2::StatisticalTable>] # Several auxiliary tables can be used in the analysis. Each custom_tag # used to tag a quasi-identifiers field must appear in exactly one # field of one auxiliary table. class DeltaPresenceEstimationConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#k_map_estimation_config ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig
Returns k-map.
1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 |
# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1395 class PrivacyMetric include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Compute numerical stats over an individual column, including # min, max, and quantiles. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Field to compute numerical stats on. Supported types are # integer, float, date, datetime, timestamp, time. class NumericalStatsConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Compute numerical stats over an individual column, including # number of distinct values and value count distribution. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Field to compute categorical stats on. All column types are # supported except for arrays and structs. However, it may be more # informative to use NumericalStats when the field type is supported, # depending on the data. class CategoricalStatsConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # k-anonymity metric, used for analysis of reidentification risk. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::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. # @!attribute [rw] entity_id # @return [::Google::Cloud::Dlp::V2::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. class KAnonymityConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # l-diversity metric, used for analysis of reidentification risk. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::FieldId>] # Set of quasi-identifiers indicating how equivalence classes are # defined for the l-diversity computation. When multiple fields are # specified, they are considered a single composite key. # @!attribute [rw] sensitive_attribute # @return [::Google::Cloud::Dlp::V2::FieldId] # Sensitive field for computing the l-value. class LDiversityConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # 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. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::TaggedField>] # Required. Fields considered to be quasi-identifiers. No two columns can have the # same tag. # @!attribute [rw] region_code # @return [::String] # ISO 3166-1 alpha-2 region code to use in the statistical modeling. # Set if no column is tagged with a region-specific InfoType (like # US_ZIP_5) or a region code. # @!attribute [rw] auxiliary_tables # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable>] # 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. class KMapEstimationConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # A column with a semantic tag attached. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Required. Identifies the column. # @!attribute [rw] info_type # @return [::Google::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::Dlp::V2::BigQueryTable] # Required. Auxiliary table location. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable::QuasiIdField>] # Required. Quasi-identifier columns. # @!attribute [rw] relative_frequency # @return [::Google::Cloud::Dlp::V2::FieldId] # Required. The relative frequency column must contain a floating-point number # between 0 and 1 (inclusive). Null values are assumed to be zero. class AuxiliaryTable include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # 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::Cloud::Dlp::V2::FieldId] # Identifies the column. # @!attribute [rw] custom_tag # @return [::String] # A auxiliary field. class QuasiIdField include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end end # δ-presence metric, used to estimate how likely it is for an attacker to # figure out that one given individual appears in a de-identified dataset. # Similarly to the k-map metric, we cannot compute δ-presence exactly without # knowing the attack dataset, so we use a statistical model instead. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::QuasiId>] # Required. Fields considered to be quasi-identifiers. No two fields can have the # same tag. # @!attribute [rw] region_code # @return [::String] # ISO 3166-1 alpha-2 region code to use in the statistical modeling. # Set if no column is tagged with a region-specific InfoType (like # US_ZIP_5) or a region code. # @!attribute [rw] auxiliary_tables # @return [::Array<::Google::Cloud::Dlp::V2::StatisticalTable>] # Several auxiliary tables can be used in the analysis. Each custom_tag # used to tag a quasi-identifiers field must appear in exactly one # field of one auxiliary table. class DeltaPresenceEstimationConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#l_diversity_config ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric::LDiversityConfig
Returns l-diversity.
1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 |
# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1395 class PrivacyMetric include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Compute numerical stats over an individual column, including # min, max, and quantiles. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Field to compute numerical stats on. Supported types are # integer, float, date, datetime, timestamp, time. class NumericalStatsConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Compute numerical stats over an individual column, including # number of distinct values and value count distribution. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Field to compute categorical stats on. All column types are # supported except for arrays and structs. However, it may be more # informative to use NumericalStats when the field type is supported, # depending on the data. class CategoricalStatsConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # k-anonymity metric, used for analysis of reidentification risk. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::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. # @!attribute [rw] entity_id # @return [::Google::Cloud::Dlp::V2::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. class KAnonymityConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # l-diversity metric, used for analysis of reidentification risk. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::FieldId>] # Set of quasi-identifiers indicating how equivalence classes are # defined for the l-diversity computation. When multiple fields are # specified, they are considered a single composite key. # @!attribute [rw] sensitive_attribute # @return [::Google::Cloud::Dlp::V2::FieldId] # Sensitive field for computing the l-value. class LDiversityConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # 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. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::TaggedField>] # Required. Fields considered to be quasi-identifiers. No two columns can have the # same tag. # @!attribute [rw] region_code # @return [::String] # ISO 3166-1 alpha-2 region code to use in the statistical modeling. # Set if no column is tagged with a region-specific InfoType (like # US_ZIP_5) or a region code. # @!attribute [rw] auxiliary_tables # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable>] # 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. class KMapEstimationConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # A column with a semantic tag attached. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Required. Identifies the column. # @!attribute [rw] info_type # @return [::Google::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::Dlp::V2::BigQueryTable] # Required. Auxiliary table location. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable::QuasiIdField>] # Required. Quasi-identifier columns. # @!attribute [rw] relative_frequency # @return [::Google::Cloud::Dlp::V2::FieldId] # Required. The relative frequency column must contain a floating-point number # between 0 and 1 (inclusive). Null values are assumed to be zero. class AuxiliaryTable include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # 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::Cloud::Dlp::V2::FieldId] # Identifies the column. # @!attribute [rw] custom_tag # @return [::String] # A auxiliary field. class QuasiIdField include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end end # δ-presence metric, used to estimate how likely it is for an attacker to # figure out that one given individual appears in a de-identified dataset. # Similarly to the k-map metric, we cannot compute δ-presence exactly without # knowing the attack dataset, so we use a statistical model instead. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::QuasiId>] # Required. Fields considered to be quasi-identifiers. No two fields can have the # same tag. # @!attribute [rw] region_code # @return [::String] # ISO 3166-1 alpha-2 region code to use in the statistical modeling. # Set if no column is tagged with a region-specific InfoType (like # US_ZIP_5) or a region code. # @!attribute [rw] auxiliary_tables # @return [::Array<::Google::Cloud::Dlp::V2::StatisticalTable>] # Several auxiliary tables can be used in the analysis. Each custom_tag # used to tag a quasi-identifiers field must appear in exactly one # field of one auxiliary table. class DeltaPresenceEstimationConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#numerical_stats_config ⇒ ::Google::Cloud::Dlp::V2::PrivacyMetric::NumericalStatsConfig
Returns Numerical stats.
1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 |
# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 1395 class PrivacyMetric include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Compute numerical stats over an individual column, including # min, max, and quantiles. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Field to compute numerical stats on. Supported types are # integer, float, date, datetime, timestamp, time. class NumericalStatsConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Compute numerical stats over an individual column, including # number of distinct values and value count distribution. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Field to compute categorical stats on. All column types are # supported except for arrays and structs. However, it may be more # informative to use NumericalStats when the field type is supported, # depending on the data. class CategoricalStatsConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # k-anonymity metric, used for analysis of reidentification risk. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::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. # @!attribute [rw] entity_id # @return [::Google::Cloud::Dlp::V2::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. class KAnonymityConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # l-diversity metric, used for analysis of reidentification risk. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::FieldId>] # Set of quasi-identifiers indicating how equivalence classes are # defined for the l-diversity computation. When multiple fields are # specified, they are considered a single composite key. # @!attribute [rw] sensitive_attribute # @return [::Google::Cloud::Dlp::V2::FieldId] # Sensitive field for computing the l-value. class LDiversityConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # 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. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::TaggedField>] # Required. Fields considered to be quasi-identifiers. No two columns can have the # same tag. # @!attribute [rw] region_code # @return [::String] # ISO 3166-1 alpha-2 region code to use in the statistical modeling. # Set if no column is tagged with a region-specific InfoType (like # US_ZIP_5) or a region code. # @!attribute [rw] auxiliary_tables # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable>] # 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. class KMapEstimationConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # A column with a semantic tag attached. # @!attribute [rw] field # @return [::Google::Cloud::Dlp::V2::FieldId] # Required. Identifies the column. # @!attribute [rw] info_type # @return [::Google::Cloud::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 include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods 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::Cloud::Dlp::V2::BigQueryTable] # Required. Auxiliary table location. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::PrivacyMetric::KMapEstimationConfig::AuxiliaryTable::QuasiIdField>] # Required. Quasi-identifier columns. # @!attribute [rw] relative_frequency # @return [::Google::Cloud::Dlp::V2::FieldId] # Required. The relative frequency column must contain a floating-point number # between 0 and 1 (inclusive). Null values are assumed to be zero. class AuxiliaryTable include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # 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::Cloud::Dlp::V2::FieldId] # Identifies the column. # @!attribute [rw] custom_tag # @return [::String] # A auxiliary field. class QuasiIdField include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end end # δ-presence metric, used to estimate how likely it is for an attacker to # figure out that one given individual appears in a de-identified dataset. # Similarly to the k-map metric, we cannot compute δ-presence exactly without # knowing the attack dataset, so we use a statistical model instead. # @!attribute [rw] quasi_ids # @return [::Array<::Google::Cloud::Dlp::V2::QuasiId>] # Required. Fields considered to be quasi-identifiers. No two fields can have the # same tag. # @!attribute [rw] region_code # @return [::String] # ISO 3166-1 alpha-2 region code to use in the statistical modeling. # Set if no column is tagged with a region-specific InfoType (like # US_ZIP_5) or a region code. # @!attribute [rw] auxiliary_tables # @return [::Array<::Google::Cloud::Dlp::V2::StatisticalTable>] # Several auxiliary tables can be used in the analysis. Each custom_tag # used to tag a quasi-identifiers field must appear in exactly one # field of one auxiliary table. class DeltaPresenceEstimationConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |