文章基本信息

标题：NETWORK INTRUSION DETECTION SYSTEM USING REDUCED DIMENSIONALITY
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作者：M. Revathi ; T.Ramesh
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2011
卷号：2
期号：1
页码：61-67
出版社：Engg Journals Publications
摘要：Intrusion Detection System (IDS) is the science of detection of malicious activity on a computer network and the basic driver for network security. It is defined as a process of monitoring the events occurring in a computer system or network and analyzing them to differentiate between normal activities of the system and behaviors that can be classified as suspicious or intrusive. In this paper identifying the network attacks and comparing the performance of the algorithms is performed respectively. The Dimension Reduction focuses on using information obtained KDD Cup 99 data set for the selection of attributes to identify the type of attacks. The dimensionality reduction is performed on 41 attributes to 14 and 7 attributes based on Best First Search method and then apply the two classifying Algorithms ID3 and J48.
关键词：Network Intrusion detection system; Best first search ; ID3; J48; Dimension Reduction; Cross Validation.