an implementation for the genetic algorithm to classify the intrusion in a network. it s tested on the KDD data network.

Algo genetic\build\built-jar.properties
............\.....\classes\AlgoGenetique.class
............\.....\.......\fitness.class
............\.....\.......\kddcup.data_10_percent.txt
............\.....\.......\population.class
............\.....\.......\Test.class
............\.....\.......\tester.class
............\.....\.......\texte.txt
............\build-before-profiler.xml
............\build.xml
............\dist\Algo genetic.jar
............\....\lib\remoteExperimentServer.jar
............\....\...\weka-src.jar
............\....\...\weka.jar
............\....\README.TXT
............\dos.txt
............\kddcup.data_10_percent.txt
............\kddcup.testdata.unlabeled_10_percent.txt
............\manifest.mf
............\nbproject\build-impl.xml
............\.........\genfiles.properties
............\.........\private\config.properties
............\.........\.......\private.properties
............\.........\.......\private.xml
............\.........\.......\..ofiler\ResetResultsProfilingPoint.pp
............\.........\profiler-build-impl.xml
............\.........\project.properties
............\.........\project.xml
............\normal.txt
............\normal2.txt
............\Prob.txt
............\R2L.txt
............\src\AlgoGenetique.java
............\...\fitness.java
............\...\kddcup.data_10_percent.txt
............\...\population.java
............\...\Test.java
............\...\tester.java
............\...\texte.txt
............\texte.txt
............\U2R.txt
............\build\classes\weka\classifiers
............\.....\.......\weka
............\nbproject\private\profiler
............\build\classes
............\.....\empty
............\dist\lib
............\nbproject\private
............\build
............\dist
............\nbproject
............\src
............\test
Algo genetic

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