wsattacker.library.intelligentdos.success.TTestSuccessDecider.java Source code

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Here is the source code for wsattacker.library.intelligentdos.success.TTestSuccessDecider.java

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/**
 * WS-Attacker - A Modular Web Services Penetration Testing Framework Copyright
 * (C) 2013 Christian Altmeier
 *
 * This program is free software; you can redistribute it and/or modify it under
 * the terms of the GNU General Public License as published by the Free Software
 * Foundation; either version 2 of the License, or (at your option) any later
 * version.
 *
 * This program is distributed in the hope that it will be useful, but WITHOUT
 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
 * FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
 * details.
 *
 * You should have received a copy of the GNU General Public License along with
 * this program; if not, write to the Free Software Foundation, Inc., 51
 * Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
 */
package wsattacker.library.intelligentdos.success;

import org.apache.commons.math3.distribution.TDistribution;
import org.apache.commons.math3.stat.descriptive.SummaryStatistics;
import org.apache.commons.math3.stat.inference.TestUtils;

/**
 * @author Christian Altmeier
 */
public class TTestSuccessDecider extends AbstractSuccessDecider {
    // the propability is 95%
    private static final double propability = 0.95;

    /*
     * (non-Javadoc)
     * @see wsattacker.library.intelligentdos.success.SuccessDecider#wasSuccessful(java.lang.Long[], java.lang.Long[])
     */
    @Override
    public boolean wasSuccessful(Long[] run1, Long[] run2) {
        double pValue = calculateProbability(run1, run2);

        return pValue > propability;
    }

    /*
     * (non-Javadoc)
     * @see wsattacker.library.intelligentdos.success.SuccessDecider#getEfficency(java.lang.Long[], java.lang.Long[])
     */
    @Override
    public Efficiency getEfficency(Long[] run1, Long[] run2) {

        double pValue = calculateProbability(run1, run2);

        if (pValue > propability) {
            return Efficiency.efficient;
        } else {
            return Efficiency.inefficient;
        }
    }

    private double calculateProbability(Long[] run1, Long[] run2) {
        SummaryStatistics statisticsX = new SummaryStatistics();
        for (double value : run1) {
            statisticsX.addValue(value);
        }

        SummaryStatistics statisticsY = new SummaryStatistics();
        for (double value : run2) {
            statisticsY.addValue(value);
        }

        // two-sample
        double t = TestUtils.t(statisticsX, statisticsY);
        long degreesOfFreedom = statisticsX.getN() + statisticsY.getN() - 2;
        // p-value = 0.3002
        TDistribution tDistribution = new TDistribution(degreesOfFreedom);
        double pValue = tDistribution.cumulativeProbability(t);
        return pValue;
    }

}