Class/Object

ksb.csle.didentification.privacy

RandomRoundingOperator

Related Docs: object RandomRoundingOperator | package privacy

Permalink

class RandomRoundingOperator extends BasePrivacyAnonymizer

:: ApplicationDeveloperApi ::

Operator that implements the random rounding module in the Data Suppression algorithm. Compared to rounding module in Algorithm algorithm which is only applicable on numerical values, it can be applied on variables containing both numerical and string values.

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

Instance Constructors

  1. new RandomRoundingOperator(o: StreamOperatorInfo)

    Permalink

    o

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

    • selectedColumnId: Column ID to apply the random rounding function
    • roundStep: round step
    • method: round up, round down, or round
    • fieldInfo: the info about column attributes (identifier, sensitive, ..)
    • check: the method how to verify the performance of anonymized data

    RandomRoundingInfo

    enum RoundingMethod {
      ROUND = 0;
      ROUND_UP = 1;
      ROUND_DOWN = 2;
    }
    message RandomRoundingInfo {
      repeated int32 selectedColumnId = 1;
      required int32 roundStep = 2 [default = 10];
      required RoundingMethod method = 3 [default = ROUND];
      repeated FieldInfo fieldInfo = 4;
      optional PrivacyCheckInfo check = 5;
    }

Value Members

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

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

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

    Permalink
    Definition Classes
    AnyRef → Any
  4. def anonymize(src: DataFrame, columnNames: Array[String]): DataFrame

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

    Permalink

    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

    Permalink

    Rounds the value of column in src dataframe w.r.t.

    Rounds the value of column in src dataframe w.r.t. 'roundType' method

    src

    Dataframe to anonymize

    columnName

    Column to apply rounding

    returns

    DataFrame Anonymized dataframe

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

    Permalink
    Definition Classes
    Any
  8. def clone(): AnyRef

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

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

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

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

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

    Permalink

    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]

    Permalink

    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]

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

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

    Permalink
    Definition Classes
    DataFrameCheck
  18. def hashCode(): Int

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

    Permalink
    Definition Classes
    Any
  20. def isValidColumnID(src: DataFrame, columnID: Int): Boolean

    Permalink

    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

    Permalink

    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

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

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

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

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

    Permalink

    Operates random rounding module for basic de-identification

    Operates random rounding module for basic de-identification

    df

    Input dataframe

    returns

    DataFrame Anonymized dataframe

    Definition Classes
    RandomRoundingOperator → BaseGenericOperator → BaseGenericMutantOperator
  27. val p: RandomRoundingInfo

    Permalink
  28. val privacy: PrivacyCheckInfo

    Permalink
    Definition Classes
    BasePrivacyAnonymizer
  29. def roundingStringColumn[T](src: DataFrame, columnName: String, tick: Int, roundType: T): DataFrame

    Permalink

    Same as roundingStringColumn(src, columnName, roundType).

    Same as roundingStringColumn(src, columnName, roundType).

    src

    Dataframe to anonymize

    columnName

    Column to apply rounding

    tick

    Unit of rounding, initial value is 10.

    roundType

    Method of rounding modules (ex., round, round-up, round-down)

    returns

    DataFrame Anonymized dataframe

  30. def roundingStringColumn[T](src: DataFrame, columnName: String, roundType: T): DataFrame

    Permalink

    Some columns may contain both numerical and non-numerical values simultaneously, i.e., 21K, $45, etc.

    Some columns may contain both numerical and non-numerical values simultaneously, i.e., 21K, $45, etc. In this case, this function extracts the numerical parts, and then only replaces them with calculated statistic info defined by 'roundType' method.

    src

    Dataframe to anonymize

    columnName

    Column to apply rounding

    roundType

    Method of rounding modules (ex., round, round-up, round-down)

    returns

    DataFrame Anonymized dataframe

  31. def stop: Unit

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

    Permalink
    Definition Classes
    AnyRef
  33. def toString(): String

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

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

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

    Permalink
    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