/*
* ARX: Powerful Data Anonymization
* Copyright 2012 - 2017 Fabian Prasser, Florian Kohlmayer and contributors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.deidentifier.arx.examples;
import java.io.IOException;
import java.util.Arrays;
import java.util.HashSet;
import org.deidentifier.arx.ARXAnonymizer;
import org.deidentifier.arx.ARXConfiguration;
import org.deidentifier.arx.ARXPopulationModel;
import org.deidentifier.arx.ARXPopulationModel.Region;
import org.deidentifier.arx.ARXResult;
import org.deidentifier.arx.AttributeType.Hierarchy;
import org.deidentifier.arx.AttributeType.Hierarchy.DefaultHierarchy;
import org.deidentifier.arx.Data;
import org.deidentifier.arx.Data.DefaultData;
import org.deidentifier.arx.DataHandle;
import org.deidentifier.arx.DataSubset;
import org.deidentifier.arx.criteria.Inclusion;
import org.deidentifier.arx.criteria.KAnonymity;
import org.deidentifier.arx.risk.RiskEstimateBuilder;
import org.deidentifier.arx.risk.RiskModelSampleSummary;
/**
* This class implements an example of how to evaluate combined risk metrics
*
* @author Fabian Prasser
*/
public class Example43 extends Example {
/**
* Entry point.
*
* @param args
* the arguments
* @throws IOException
*/
public static void main(String[] args) throws IOException {
// Define data
DefaultData data = Data.create();
data.add("age", "gender", "zipcode");
data.add("45", "female", "81675");
data.add("34", "male", "81667");
data.add("66", "male", "81925");
data.add("70", "female", "81931");
data.add("34", "female", "81931");
data.add("70", "male", "81931");
data.add("45", "male", "81931");
// Define research subset
DataSubset subset = DataSubset.create(data, new HashSet<Integer>(Arrays.asList(1, 2, 5)));
// Define hierarchies
DefaultHierarchy age = Hierarchy.create();
age.add("34", "<50", "*");
age.add("45", "<50", "*");
age.add("66", ">=50", "*");
age.add("70", ">=50", "*");
DefaultHierarchy gender = Hierarchy.create();
gender.add("male", "*");
gender.add("female", "*");
// Only excerpts for readability
DefaultHierarchy zipcode = Hierarchy.create();
zipcode.add("81667", "8166*", "816**", "81***", "8****", "*****");
zipcode.add("81675", "8167*", "816**", "81***", "8****", "*****");
zipcode.add("81925", "8192*", "819**", "81***", "8****", "*****");
zipcode.add("81931", "8193*", "819**", "81***", "8****", "*****");
data.getDefinition().setAttributeType("age", age);
data.getDefinition().setAttributeType("gender", gender);
data.getDefinition().setAttributeType("zipcode", zipcode);
// Perform risk analysis
// Create an instance of the anonymizer
ARXAnonymizer anonymizer = new ARXAnonymizer();
ARXConfiguration config = ARXConfiguration.create();
config.addPrivacyModel(new Inclusion(subset));
config.addPrivacyModel(new KAnonymity(2));
config.setMaxOutliers(1d);
// Anonymize
ARXResult result = anonymizer.anonymize(data, config);
// Perform risk analysis
System.out.println("\n - Input data");
print(data.getHandle().getView());
System.out.println("\n - Risk analysis:");
analyzeData(data.getHandle());
// Perform risk analysis
System.out.println("\n - Output data");
print(result.getOutput().getView());
System.out.println("\n - Risk analysis:");
analyzeData(result.getOutput());
}
/**
* Perform risk analysis
* @param handle
*/
private static void analyzeData(DataHandle handle) {
double THRESHOLD = 0.5d;
ARXPopulationModel populationmodel = ARXPopulationModel.create(Region.USA);
RiskEstimateBuilder builder = handle.getRiskEstimator(populationmodel);
RiskModelSampleSummary risks = builder.getSampleBasedRiskSummary(THRESHOLD);
System.out.println(" * Baseline risk threshold: " + getPrecent(THRESHOLD));
System.out.println(" * Prosecutor attacker model");
System.out.println(" - Records at risk: " + getPrecent(risks.getProsecutorRisk().getRecordsAtRisk()));
System.out.println(" - Highest risk: " + getPrecent(risks.getProsecutorRisk().getHighestRisk()));
System.out.println(" - Success rate: " + getPrecent(risks.getProsecutorRisk().getSuccessRate()));
System.out.println(" * Journalist attacker model");
System.out.println(" - Records at risk: " + getPrecent(risks.getJournalistRisk().getRecordsAtRisk()));
System.out.println(" - Highest risk: " + getPrecent(risks.getJournalistRisk().getHighestRisk()));
System.out.println(" - Success rate: " + getPrecent(risks.getJournalistRisk().getSuccessRate()));
System.out.println(" * Marketer attacker model");
System.out.println(" - Success rate: " + getPrecent(risks.getMarketerRisk().getSuccessRate()));
}
/**
* Returns a formatted string
* @param value
* @return
*/
private static String getPrecent(double value) {
return (int)(Math.round(value * 100)) + "%";
}
}