Class/Object

ksb.csle.didentification.privacy

QuasiReductionOperator

Related Docs: object QuasiReductionOperator | package privacy

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class QuasiReductionOperator extends BasePrivacyAnonymizer

:: ApplicationDeveloperApi ::

Operator that implements the quasi-identifier reduction module in the Data Reduction algorithm.

Linear Supertypes
BasePrivacyAnonymizer, DataFrameCheck, BaseDataOperator[StreamOperatorInfo, DataFrame], BaseGenericOperator[StreamOperatorInfo, DataFrame], BaseGenericMutantOperator[StreamOperatorInfo, DataFrame, DataFrame], BaseDoer, Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. QuasiReductionOperator
  2. BasePrivacyAnonymizer
  3. DataFrameCheck
  4. BaseDataOperator
  5. BaseGenericOperator
  6. BaseGenericMutantOperator
  7. BaseDoer
  8. Logging
  9. Serializable
  10. Serializable
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new QuasiReductionOperator(o: StreamOperatorInfo)

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    o

    Object that contains message ksb.csle.common.proto.StreamDidentProto.QuasiReductionInfo QuasiReductionInfo contains attributes as follows:

    • method: not yet used
    • safeHarborList: the list of safe habor string manually given by user
    • fieldInfo: the info about column attributes (identifier, sensitive, ..)
    • check: the method how to verify the performance of anonymized data

    QuasiReductionInfo

    enum ReductionMethod {
      DELETE = 0;
      REPLACE = 1;
    }
    message QuasiReductionInfo {
      required ReductionMethod method = 1 [default = DELETE];
      repeated string safeHarborList = 2;
      repeated FieldInfo fieldInfo = 3;
      optional PrivacyCheckInfo check = 4;
    }

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. def anonymize(src: DataFrame): DataFrame

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    Anonymizes the src dataframe.

    Anonymizes the src dataframe. Since this method is only applicable on the quasi-identifier columns, there is no need to specify the columns to be anonymized.

    src

    Dataframe to anonymize

    returns

    DataFrame Anonymized dataframe which replaces original column with anonymized column

  5. def anonymize(src: DataFrame, columnNames: Array[String]): DataFrame

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    Definition Classes
    BasePrivacyAnonymizer
  6. def anonymize(src: DataFrame, columnName: String): DataFrame

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    Anonymizes the column specified in src dataframe using generic 'Type' method.

    Anonymizes the column specified in src dataframe using generic 'Type' method. The 'Type' is decided by inherited object module.

    src

    Dataframe to anonymize

    columnName

    Column to be anonymized

    returns

    DataFrame The dataframe which replaces original column with anonymized column

    Definition Classes
    BasePrivacyAnonymizer
  7. def anonymizeColumn(src: DataFrame, columnName: String): DataFrame

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    Drops the quasi-identifier column which belongs to the list of safe habor.

    Drops the quasi-identifier column which belongs to the list of safe habor. This list can be configured by the data handler, or by referring to the HIPAA act.

    src

    Dataframe to anonymize

    columnName

    Columnname to be anonymized

    returns

    DataFrame Anonymized dataframe

    Definition Classes
    QuasiReductionOperatorBasePrivacyAnonymizer
  8. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  9. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  14. def getColumnName(src: DataFrame, columnId: Int): String

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    Returns column name from src dataframe specified by the column ID defined by protobuf.

    Returns column name from src dataframe specified by the column ID defined by protobuf.

    src

    dataframe to get names of columns.

    columnId

    column ID to anonymize.

    returns

    String.

    Definition Classes
    DataFrameCheck
  15. def getColumnNames(src: DataFrame, columnIDs: Array[Int]): Array[String]

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    Returns column names from src dataframe specified by column IDs.

    Returns column names from src dataframe specified by column IDs. Note that the column with invalid IDs are ignored.

    src

    dataframe to get names of columns.

    returns

    Array[String].

    Definition Classes
    DataFrameCheck
  16. def getQuasiColumnIDs(fieldInfos: Array[FieldInfo]): Array[Int]

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    Definition Classes
    DataFrameCheck
  17. def getSensColumnIDs(fieldInfos: Array[FieldInfo]): Array[Int]

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    Definition Classes
    DataFrameCheck
  18. def getValidColumnIDs(src: DataFrame, columnIDs: Array[Int]): Array[Int]

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    Definition Classes
    DataFrameCheck
  19. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  20. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  21. def isSafeBarborList(columnName: String): Boolean

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    Checks whether the given column belongs to the list of safe habor

    Checks whether the given column belongs to the list of safe habor

    columnName

    the column name to check

    returns

    Boolean returns whether belongs to the list of safe harbor or not.

  22. def isTypedSafeBarborList(columnName: String): Boolean

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    Data handle can configure the list of safe habor.

    Data handle can configure the list of safe habor. In the case, this function checks the given column belongs to the configured list.

    columnName

    the column name to check

    returns

    Boolean returns whether belongs to the list of safe harbor or not.

  23. def isValidColumnID(src: DataFrame, columnID: Int): Boolean

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    Checks the given column ID is valid.

    Checks the given column ID is valid.

    src

    dataframe to get names of columns.

    returns

    Boolean.

    Definition Classes
    DataFrameCheck
  24. def isValidColumnName(src: DataFrame, columnName: String): Boolean

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    Checks the given column Name is valid.

    Checks the given column Name is valid.

    src

    dataframe to get names of columns.

    columnName

    column Name.

    returns

    Boolean.

    Definition Classes
    DataFrameCheck
  25. val logger: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  26. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  27. final def notify(): Unit

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    Definition Classes
    AnyRef
  28. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  29. def operate(df: DataFrame): DataFrame

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    Operates quasi-reduction module for basic de-identification

    Operates quasi-reduction module for basic de-identification

    df

    Input dataframe

    returns

    DataFrame Anonymized dataframe

    Definition Classes
    QuasiReductionOperator → BaseGenericOperator → BaseGenericMutantOperator
  30. val p: QuasiReductionInfo

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  31. val privacy: PrivacyCheckInfo

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    Definition Classes
    BasePrivacyAnonymizer
  32. def stop: Unit

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    Definition Classes
    BaseGenericOperator → BaseGenericMutantOperator
  33. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  34. def toString(): String

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    Definition Classes
    AnyRef → Any
  35. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  36. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  37. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from BasePrivacyAnonymizer

Inherited from DataFrameCheck

Inherited from BaseDataOperator[StreamOperatorInfo, DataFrame]

Inherited from BaseGenericOperator[StreamOperatorInfo, DataFrame]

Inherited from BaseGenericMutantOperator[StreamOperatorInfo, DataFrame, DataFrame]

Inherited from BaseDoer

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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