文章基本信息

标题：Intrusion Detection System: A Review
本地全文：下载
作者：Sanjay Sharma ; R. K. Gupta
期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2015
卷号：9
期号：5
页码：69-76
DOI：10.14257/ijsia.2015.9.5.07
出版社：SERSC
摘要：With the incredible expansion of network-based services and responsive information on networks, network protection and security is getting more and more significance than ever. Intrusion poses a serious security risk in network surroundings. The ever rising new intrusion or attacks type poses severe difficulties for their detection. The human labeling of the accessible network audit information instances is generally tedious, expensive as well as time consuming. This paper focuses on study of existing intrusion detection task by using data mining techniques and discussing on various issues in existing intrusion detection system (IDS) based on data mining techniques.
关键词：Data Mining; Intrusion Detection System; Attack; Clustering