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Evaluation of Rough Set Theory Based Network TrafficData Classifier Using Different Discretization Method
2012
International Journal of Information and Electronics Engineering
In information security, intrusion detection is a challenging task for which designing of an efficient classifier is most important. In the paper, network traffic data is classified using rough set theory where discretization of data is a necessary preprocessing step. Different discretization methods are available and selection of one has great impact on classification accuracy, time complexity and system adaptability. Three discretization methods are applied on continuous KDD network data
doi:10.7763/ijiee.2012.v2.110
fatcat:4f57wh3eg5es7bsrelsrkfeuma