Improving Anomalous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming

Commonly addressed problem in intrusion detection system (IDS) research works that employed NSL-KDD dataset is to improve the rare attacks detection rate. However, some of the rare attacks are hard to be recognized by the IDS model due to their patterns are totally missing from the training set, hen...

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Veröffentlicht in:	Neural processing letters 2016-10, Vol.44 (2), p.279-290
Hauptverfasser:	Pozi, Muhammad Syafiq Mohd, Sulaiman, Md Nasir, Mustapha, Norwati, Perumal, Thinagaran
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Classification Classifiers Complex Systems Computational Intelligence Computer Science Datasets Decision trees Feature selection Genetic algorithms Intrusion detection systems Optimization Support vector machines
Online-Zugang:	Volltext
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