期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：4
页码：1822-1825
出版社：TechScience Publications
摘要：The detection and prediction of dynamic types ofattack is always challenging task for the intrusion detectionsystem. For the detection of these attacks, used distinct datamining technique such as classification and clustering. Theprocess of clustering and classification is very complex due toimmense number of feature attribute of network file and data.Now the reduction of feature attributes of intrusion increasethe potency of classification and detection of dynamic types ofdata. Now in current decade various feature reduction methodare used such as LDA, Genetic algorithm and other heuristicbased optimization technique. In this paper present the reviewof intrusion detection technique based on the process offeature reduction and classification based technique.
关键词：IDS; Data Mining; Feature Reduction; Swarm;Intelligence
