Class/Object

ksb.csle.didentification.privacy

SwappingOperator

Related Docs: object SwappingOperator | package privacy

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class SwappingOperator extends BasePrivacyAnonymizer

:: ApplicationDeveloperApi ::

Operator that implements the swapping module in the PseudoAnonymization algorithm. Compared to heuristic module which makes the heuristic table using randomized string or manually, this module makes the heuristic table by referring to the given input file. It replaces the values of data with some random strings.

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. SwappingOperator
  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
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Instance Constructors

  1. new SwappingOperator(o: StreamOperatorInfo)

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    o

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

    • selectedColumnId: Column ID to apply the swapping function
    • method: how to swap the record (randomly? or by referring to the record of the given file).
    • fileInfo: the configuration for the file-based swapping.
    • fieldInfo: the info about column attributes (identifier, sensitive, ..)
    • check: the method how to verify the performance of anonymized data

    SwappingInfo

    enum GenSwappingTableMethod {
    	SWAP_RANDOM = 0;
    	SWAP_FILE = 1;
    }
    enum FileLocationType {
    	DIRECTORY = 0;
    	URL = 1;
    }
    message SwappingFileInfo {
    	required string filePath = 1;
    	required int32 columnIndex = 2;
    	optional FileLocationType fileType = 3 [default = DIRECTORY];
    }
    message SwappingInfo {
      repeated int32 selectedColumnId = 1;
      required GenSwappingTableMethod method = 2 [default = SWAP_RANDOM];
      optional SwappingFileInfo fileInfo = 3;
      repeated FieldInfo fieldInfo = 4;
      optional PrivacyCheckInfo check = 5;
    }

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, columnNames: Array[String]): DataFrame

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    Definition Classes
    BasePrivacyAnonymizer
  5. 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
  6. def anonymizeColumn(src: DataFrame, columnName: String, swappingType: GenSwappingTableMethod): DataFrame

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

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    Swaps the original records with pre-defined values.

    Swaps the original records with pre-defined values. To do this, it makes the swap tables on the basis of given file content.

    src

    Dataframe to anonymize

    columnName

    Column to be pseudo-anonymized

    returns

    DataFrame Anonymized dataframe

    Definition Classes
    SwappingOperatorBasePrivacyAnonymizer
  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. def makeFileHeuristicTable(src: DataFrame, columnName: String, fileInfo: SwappingFileInfo): Map[String, String]

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    Makes swap tables by referring to the given file information.

    Makes swap tables by referring to the given file information.

    src

    Dataframe to anonymize

    columnName

    Column to be pseudo-anonymized

    fileInfo

    the information containing how to make swap tables

    returns

    Map[String, String] Generated heuristic table

  25. def makeHeuristicTable(src: DataFrame, columnName: String, swappingType: GenSwappingTableMethod): Map[String, String]

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    Makes swap tables comprising of [original data, random string].

    Makes swap tables comprising of [original data, random string].

    src

    Dataframe to anonymize

    columnName

    Column to be pseudo-anonymized

    swappingType

    How to make swap lists

    returns

    Map[String, String] Generated heuristic table

  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 heuristic module for basic de-identification

    Operates heuristic module for basic de-identification

    df

    Input dataframe

    returns

    DataFrame Anonymized dataframe

    Definition Classes
    SwappingOperator → BaseGenericOperator → BaseGenericMutantOperator
  30. val p: SwappingInfo

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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

Ungrouped