文章基本信息

标题：A Genetic Algorithm Based elucidation for improving Intrusion Detection through condensed feature set by KDD 99 data set
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作者：S. Selvakani Kandeeban ; R.S. Rajesh
期刊名称：Information and Knowledge Management
印刷版ISSN：2224-5758
电子版ISSN：2224-896X
出版年度：2011
卷号：1
期号：1
页码：1-9
语种：English
出版社：International Institute for Science, Technology Education
摘要：An Intrusion detection system's main aim is to identify the normal and intrusive activities. The objective of this paper is to incorporate Genetic algorithm with reduced feature set into the system to detect and classify intrusions from normal. The experiments and evaluations of the proposed method were done using KDD cup 99 data set. The Genetic algorithm is used to derive a set of rules from the reduced training data set, and the fitness function is employed to judge the quality of rules.
关键词：Genetic Algorithm; Detection Rate; Intrusion Detection System; Reduced Feature Set; KDD 99 data set.