org.deidentifier.arx.criteria

Class ProfitabilityProsecutor

java.lang.Object

org.deidentifier.arx.criteria.PrivacyCriterion

org.deidentifier.arx.criteria.ImplicitPrivacyCriterion

org.deidentifier.arx.criteria.ProfitabilityProsecutor

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

ProfitabilityJournalist

public class ProfitabilityProsecutor
extends ImplicitPrivacyCriterion

Privacy model for the game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk. Zhiyu Wan, Yevgeniy Vorobeychik, Weiyi Xia, Ellen Wright Clayton, Murat Kantarcioglu, Ranjit Ganta, Raymond Heatherly, Bradley A. Malin PLOS|ONE. 2015.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ProfitabilityProsecutor() Creates a new instance of game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk.

Method Summary

Modifier and Type	Method and Description
ProfitabilityProsecutor	clone() Clone
PrivacyCriterion	clone(DataSubset subset) Clone for local recoding
DataSubset	getDataSubset() If a privacy model uses a data subset, it must overwrite this method
int	getRequirements() Returns the criterion's requirements.
void	initialize(org.deidentifier.arx.framework.data.DataManager manager, ARXConfiguration config) Override this to initialize the criterion.
boolean	isAnonymous(org.deidentifier.arx.framework.lattice.Transformation<?> transformation, org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry entry) Implement this, to enforce the criterion.
boolean	isLocalRecodingSupported() Returns whether the criterion supports local recoding.
boolean	isSubsetAvailable() If a privacy model uses a data subset, it must overwrite this method
ElementData	render() Renders the privacy model
java.lang.String	toString() Returns a string representation.

Methods inherited from class org.deidentifier.arx.criteria.PrivacyCriterion

getMinimalClassSize, getPopulationModel, getRiskThresholdJournalist, getRiskThresholdMarketer, getRiskThresholdProsecutor, getSubset, isHeuristicSearchSupported, isHeuristicSearchWithTimeLimitSupported, isMinimalClassSizeAvailable, isMonotonicWithGeneralization, isMonotonicWithSuppression, isOptimalSearchSupported, isSampleBased

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

ProfitabilityProsecutor

public ProfitabilityProsecutor()

Creates a new instance of game theoretic approach proposed in: A Game Theoretic Framework for Analyzing Re-Identification Risk. Zhiyu Wan, Yevgeniy Vorobeychik, Weiyi Xia, Ellen Wright Clayton, Murat Kantarcioglu, Ranjit Ganta, Raymond Heatherly, Bradley A. Malin PLOS|ONE. 2015.

Method Detail

clone

public ProfitabilityProsecutor clone()

Description copied from class: PrivacyCriterion

Clone

Specified by:

clone in class PrivacyCriterion

clone

public PrivacyCriterion clone(DataSubset subset)

Description copied from class: PrivacyCriterion

Clone for local recoding

Overrides:

clone in class PrivacyCriterion

getDataSubset

public DataSubset getDataSubset()

Description copied from class: PrivacyCriterion

If a privacy model uses a data subset, it must overwrite this method

Overrides:

getDataSubset in class PrivacyCriterion

Returns:

getRequirements

public int getRequirements()

Description copied from class: PrivacyCriterion

Returns the criterion's requirements.

Specified by:

getRequirements in class PrivacyCriterion

Returns:

initialize

public void initialize(org.deidentifier.arx.framework.data.DataManager manager,
                       ARXConfiguration config)

Description copied from class: PrivacyCriterion

Override this to initialize the criterion.

Overrides:

initialize in class PrivacyCriterion

config - TODO

isAnonymous

public boolean isAnonymous(org.deidentifier.arx.framework.lattice.Transformation<?> transformation,
                           org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry entry)

Description copied from class: PrivacyCriterion

Implement this, to enforce the criterion.

Specified by:

isAnonymous in class PrivacyCriterion

Parameters:

transformation - TODO

Returns:

isLocalRecodingSupported

public boolean isLocalRecodingSupported()

Description copied from class: PrivacyCriterion

Returns whether the criterion supports local recoding.

Specified by:

isLocalRecodingSupported in class PrivacyCriterion

Returns:

isSubsetAvailable

public boolean isSubsetAvailable()

Description copied from class: PrivacyCriterion

If a privacy model uses a data subset, it must overwrite this method

Overrides:

isSubsetAvailable in class PrivacyCriterion

Returns:

render

public ElementData render()

Description copied from class: PrivacyCriterion

Renders the privacy model

Specified by:

render in class PrivacyCriterion

Returns:

toString

public java.lang.String toString()

Description copied from class: PrivacyCriterion

Returns a string representation.

Specified by:

toString in class PrivacyCriterion