文章基本信息

标题：Classification Algorithms in Intrusion Detection System: A Survey
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作者：V. Jaiganesh ; Dr. P. Sumathi ; A.Vinitha 等
期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2013
卷号：4
期号：5
页码：746-750
出版社：Technopark Publications
摘要：Intrusion Detection system is a software which helps us to protect our system from other system when other person tries to access our system through network. It secures our system resources without giving access to other system. Nowadays internet has becoming more popular and wide. Many of them try to access the resources of unauthorized person to win their business. In this paper the data mining algorithm which helps to secure our system. In data mining classification algorithms helps easily to secure the system. Classification predicts the future data what the output comes. Intrusion detection system can be used for both host and network. The two algorithms surveyed are ID3 and C4.5. There are two types of detection methods. One is misuse detection and another one is anomaly detection
关键词：Intrusion Detection System Architecture; Detection types; Attacks; Protocols; KDD cup data set; ID3 algorithm; C4.5 algorithm; Decision trees; Classification