Class/Object

ksb.csle.didentification.privacy

DataRangeOperator

Related Docs: object DataRangeOperator | package privacy

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class DataRangeOperator extends BasePrivacyAnonymizer

:: ApplicationDeveloperApi ::

Operator that implements the data range module in the Data Suppression algorithm. It represents the values of the data with intervals [lower, upper].

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. DataRangeOperator
  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 DataRangeOperator(o: StreamOperatorInfo)

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    o

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

    • selectedColumnId: Column ID to apply the data range function
    • rangeStep: the interval of range
    • method: how to replace the data included in the given range
    • fieldInfo: the info about column attributes (identifier, sensitive, ..)
    • check: the method how to verify the performance of anonymized data

    DataRangeInfo

    enum AggregationMethod {
      MIN = 0;
      AVG = 1;
      MAX = 2;
      STD = 3;
      COUNT = 4;
      MANUAL = 5;
    }
    message DataRangeInfo {
      repeated int32 selectedColumnId = 1;
      required int32 rangeStep = 2 [default = 10];
      required AggregationMethod method = 3 [default = AVG];
      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): DataFrame

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    Represents the values of column in src dataframe with a form of interval [lower, upper]

    Represents the values of column in src dataframe with a form of interval [lower, upper]

    src

    Dataframe to anonymize

    columnName

    Column to be anonymized

    returns

    DataFrame Anonymized dataframe

    Definition Classes
    DataRangeOperatorBasePrivacyAnonymizer
  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  8. def clone(): AnyRef

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

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

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

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

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    Definition Classes
    AnyRef → Any
  13. 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
  14. 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
  15. def getQuasiColumnIDs(fieldInfos: Array[FieldInfo]): Array[Int]

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

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

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    Definition Classes
    DataFrameCheck
  18. def hashCode(): Int

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

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    Definition Classes
    Any
  20. 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
  21. 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
  22. val logger: Logger

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

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

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

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

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    Operates data range module for basic de-identification

    Operates data range module for basic de-identification

    df

    Input dataframe

    returns

    DataFrame Anonymized dataframe

    Definition Classes
    DataRangeOperator → BaseGenericOperator → BaseGenericMutantOperator
  27. val p: DataRangeInfo

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  28. val privacy: PrivacyCheckInfo

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    Definition Classes
    BasePrivacyAnonymizer
  29. def rangeNumericColumn[T](src: DataFrame, columnName: String, rangeType: T, step: Int): DataFrame

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  30. def rangeNumericColumn(src: DataFrame, columnName: String): DataFrame

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    Represents the numerical type of column as a form of intervals [lower, upper] using 'rangeType' method.

    Represents the numerical type of column as a form of intervals [lower, upper] using 'rangeType' method.

    src

    Dataframe to anonymize

    columnName

    Column to be anonymized

    returns

    DataFrame Anonymized dataframe

  31. def rangeStringColumn[T](src: DataFrame, columnName: String, rangeType: T): DataFrame

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    Represents the values of column containing both numerical and string as a form of intervals [lower, upper] using 'rangeType' method.

    Represents the values of column containing both numerical and string as a form of intervals [lower, upper] using 'rangeType' method.

    src

    Dataframe to anonymize

    columnName

    Column to be anonymized

    rangeType

    Methods of data range module. currently, not supported

  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