/*
* 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.Iterator;
import org.deidentifier.arx.ARXAnonymizer;
import org.deidentifier.arx.ARXConfiguration;
import org.deidentifier.arx.ARXResult;
import org.deidentifier.arx.AttributeType;
import org.deidentifier.arx.AttributeType.Hierarchy;
import org.deidentifier.arx.AttributeType.Hierarchy.DefaultHierarchy;
import org.deidentifier.arx.AttributeType.MicroAggregationFunction;
import org.deidentifier.arx.Data;
import org.deidentifier.arx.Data.DefaultData;
import org.deidentifier.arx.DataType;
import org.deidentifier.arx.criteria.KAnonymity;
/**
* This class implements an example of how to use microaggregation. It also demonstrates how, since version 3.1. of ARX
* attribute types and transformation methods should be specified separately.
*
* @author Fabian Prasser
* @author Florian Kohlmayer
*/
public class Example33 extends Example {
/**
* Entry point.
*
* @param args the arguments
*/
public static void main(String[] args) throws IOException {
/* *******************************
* Define data
*********************************/
DefaultData data = Data.create();
data.add("age", "gender", "zipcode", "date");
data.add("45", "female", "81675", "01.01.1982");
data.add("34", "male", "81667", "11.05.1982");
data.add("NULL", "male", "81925", "31.08.1982");
data.add("70", "female", "81931", "02.07.1982");
data.add("34", "female", "NULL", "05.01.1982");
data.add("70", "male", "81931", "24.03.1982");
data.add("45", "male", "81931", "NULL");
/* *******************************
* Define hierarchies
*********************************/
DefaultHierarchy hierarchy = Hierarchy.create();
hierarchy.add("male", "*");
hierarchy.add("female", "*");
/* *******************************
* Define data types
*********************************/
data.getDefinition().setDataType("age", DataType.INTEGER);
data.getDefinition().setDataType("zipcode", DataType.DECIMAL);
data.getDefinition().setDataType("date", DataType.DATE);
/* *******************************
* Define attribute types
*********************************/
data.getDefinition().setAttributeType("age", AttributeType.QUASI_IDENTIFYING_ATTRIBUTE);
data.getDefinition().setAttributeType("gender", AttributeType.QUASI_IDENTIFYING_ATTRIBUTE);
data.getDefinition().setAttributeType("zipcode", AttributeType.INSENSITIVE_ATTRIBUTE);
data.getDefinition().setAttributeType("date", AttributeType.QUASI_IDENTIFYING_ATTRIBUTE);
/* *******************************
* Define transformation methods
*********************************/
data.getDefinition().setMicroAggregationFunction("age", MicroAggregationFunction.createMode());
data.getDefinition().setMicroAggregationFunction("date", MicroAggregationFunction.createMedian());
data.getDefinition().setHierarchy("gender", hierarchy);
// Create an instance of the anonymizer
ARXAnonymizer anonymizer = new ARXAnonymizer();
ARXConfiguration config = ARXConfiguration.create();
config.addPrivacyModel(new KAnonymity(2));
config.setMaxOutliers(0.5d);
// Obtain result
ARXResult result = anonymizer.anonymize(data, config);
// Print info
printResult(result, data);
// Process results
System.out.println(" - Transformed data:");
Iterator<String[]> transformed = result.getOutput(false).iterator();
while (transformed.hasNext()) {
System.out.print(" ");
System.out.println(Arrays.toString(transformed.next()));
}
}
}