Package org.deidentifier.arx.criteria

Klasse PopulationUniqueness

java.lang.Object

org.deidentifier.arx.criteria.PrivacyCriterion

org.deidentifier.arx.criteria.SampleBasedCriterion

org.deidentifier.arx.criteria.RiskBasedCriterion

org.deidentifier.arx.criteria.PopulationUniqueness

Alle implementierten Schnittstellen:

Serializable

public class PopulationUniqueness
extends RiskBasedCriterion

This criterion ensures that the population uniqueness falls below a given threshold.

Siehe auch:

• Serialisierte Form

Konstruktorübersicht

Konstruktoren

Konstruktor	Beschreibung
PopulationUniqueness(double riskThreshold, ARXPopulationModel populationModel)	Creates a new instance of this criterion.
PopulationUniqueness(double riskThreshold, ARXPopulationModel populationModel, ARXSolverConfiguration config)	Creates a new instance of this criterion.
PopulationUniqueness(double riskThreshold, RiskModelPopulationUniqueness.PopulationUniquenessModel statisticalModel, ARXPopulationModel populationModel)	Creates a new instance of this criterion.
PopulationUniqueness(double riskThreshold, RiskModelPopulationUniqueness.PopulationUniquenessModel statisticalModel, ARXPopulationModel populationModel, ARXSolverConfiguration config)	Creates a new instance of this criterion.

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
PopulationUniqueness	clone()	Clone
ARXPopulationModel	getPopulationModel()	Returns the associated population model, null if there is none.
double	getRiskThresholdMarketer()	Return marketer risk threshold, 1 if there is none
RiskModelPopulationUniqueness.PopulationUniquenessModel	getStatisticalModel()
void	initialize(org.deidentifier.arx.framework.data.DataManager manager, ARXConfiguration config)	Override this to initialize the criterion.
protected boolean	isFulfilled(org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution distribution)	We currently assume that at any time, at least one statistical model converges.
boolean	isLocalRecodingSupported()	Returns whether the criterion supports local recoding.
ElementData	render()	Renders the privacy model
String	toString()	Returns a string representation.

Von Klasse geerbte Methoden org.deidentifier.arx.criteria.RiskBasedCriterion

enforce, getRequirements, getRiskThreshold

Von Klasse geerbte Methoden org.deidentifier.arx.criteria.SampleBasedCriterion

isAnonymous, isSampleBased

Von Klasse geerbte Methoden org.deidentifier.arx.criteria.PrivacyCriterion

clone, getDataSubset, getMinimalClassSize, getRiskThresholdJournalist, getRiskThresholdProsecutor, getSubset, isHeuristicSearchSupported, isHeuristicSearchWithTimeLimitSupported, isMinimalClassSizeAvailable, isMonotonicWithGeneralization, isMonotonicWithSuppression, isOptimalSearchSupported, isSubsetAvailable

Von Klasse geerbte Methoden java.lang.Object

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

Konstruktordetails

PopulationUniqueness

public PopulationUniqueness(double riskThreshold,
 ARXPopulationModel populationModel)

Creates a new instance of this criterion. Uses Dankar's method for estimating population uniqueness. This constructor will clone the population model, making further changes to it will not influence the results. The default accuracy is 10e-6 and the default maximal number of iterations is 1000.

Parameter:

riskThreshold -

populationModel -

PopulationUniqueness

public PopulationUniqueness(double riskThreshold,
 ARXPopulationModel populationModel,
 ARXSolverConfiguration config)

Creates a new instance of this criterion. Uses Dankar's method for estimating population uniqueness. This constructor will clone the population model, making further changes to it will not influence the results.

Parameter:

riskThreshold -

populationModel -

config -

PopulationUniqueness

public PopulationUniqueness(double riskThreshold,
 RiskModelPopulationUniqueness.PopulationUniquenessModel statisticalModel,
 ARXPopulationModel populationModel)

Creates a new instance of this criterion. Uses the specified method for estimating population uniqueness. This constructor will clone the population model, making further changes to it will not influence the results.

Parameter:

riskThreshold -

statisticalModel -

populationModel -

PopulationUniqueness

public PopulationUniqueness(double riskThreshold,
 RiskModelPopulationUniqueness.PopulationUniquenessModel statisticalModel,
 ARXPopulationModel populationModel,
 ARXSolverConfiguration config)

Creates a new instance of this criterion. Uses the specified method for estimating population uniqueness. This constructor will clone the population model, making further changes to it will not influence the results. The default accuracy is 10e-6 and the default maximal number of iterations is 1000.

Parameter:

riskThreshold -

statisticalModel -

populationModel -

config -

Methodendetails

clone

public PopulationUniqueness clone()

Beschreibung aus Klasse kopiert: PrivacyCriterion

Clone

Angegeben von:

clone in Klasse PrivacyCriterion

getPopulationModel

public ARXPopulationModel getPopulationModel()

Beschreibung aus Klasse kopiert: PrivacyCriterion

Returns the associated population model, null if there is none.

Setzt außer Kraft:

getPopulationModel in Klasse PrivacyCriterion

Gibt zurück:

the populationModel

getRiskThresholdMarketer

public double getRiskThresholdMarketer()

Return marketer risk threshold, 1 if there is none

Setzt außer Kraft:

getRiskThresholdMarketer in Klasse PrivacyCriterion

Gibt zurück:

getStatisticalModel

public RiskModelPopulationUniqueness.PopulationUniquenessModel getStatisticalModel()

Gibt zurück:

the statisticalModel

initialize

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

Beschreibung aus Klasse kopiert: PrivacyCriterion

Override this to initialize the criterion.

Setzt außer Kraft:

initialize in Klasse PrivacyCriterion

Parameter:

manager -

config - TODO

isLocalRecodingSupported

public boolean isLocalRecodingSupported()

Beschreibung aus Klasse kopiert: PrivacyCriterion

Returns whether the criterion supports local recoding.

Angegeben von:

isLocalRecodingSupported in Klasse PrivacyCriterion

Gibt zurück:

render

public ElementData render()

Beschreibung aus Klasse kopiert: PrivacyCriterion

Renders the privacy model

Angegeben von:

render in Klasse PrivacyCriterion

Gibt zurück:

toString

public String toString()

Beschreibung aus Klasse kopiert: PrivacyCriterion

Returns a string representation.

Angegeben von:

toString in Klasse PrivacyCriterion

Gibt zurück:

isFulfilled

protected boolean isFulfilled(org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution distribution)

We currently assume that at any time, at least one statistical model converges. This might not be the case, and 0 may be returned instead. That's why we only accept estimates of 0, if the number of equivalence classes of size 1 in the sample is also zero

Angegeben von:

isFulfilled in Klasse RiskBasedCriterion

Parameter:

distribution -

Gibt zurück: