Class/Object

ksb.csle.didentification.privacy

IdenReductionOperator

Related Docs: object IdenReductionOperator | package privacy

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class IdenReductionOperator extends BasePrivacyAnonymizer

This object implements the identity 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. IdenReductionOperator
  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 IdenReductionOperator(o: StreamOperatorInfo)

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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 identifier column, 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 identifier column or replaces it with randomized string

    Drops the identifier column or replaces it with randomized string

    src

    Dataframe to anonymize

    columnName

    Column to be anonymized

    returns

    DataFrame Anonymized dataframe

    Definition Classes
    IdenReductionOperatorBasePrivacyAnonymizer
  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 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
  22. 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
  23. val logger: Logger

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

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

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

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

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    Operates iden reduction module for basic de-identification

    Operates iden reduction module for basic de-identification

    df

    Input dataframe

    returns

    DataFrame Anonymized dataframe

    Definition Classes
    IdenReductionOperator → BaseGenericOperator → BaseGenericMutantOperator
  28. val p: IdenReductionInfo

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  29. val privacy: PrivacyCheckInfo

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    Definition Classes
    BasePrivacyAnonymizer
  30. def stop: Unit

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

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    Definition Classes
    AnyRef
  32. def toString(): String

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  35. 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

Ungrouped