%0 Journal Article
%T Anomaly intrusion detection based on quotient space granularity clustering<br>基于商空间粒度聚类的异常入侵检测*
%A WANG Li-fang
%A HAN Xie
%A <br>王丽芳
%A 韩燮
%J 计算机应用研究
%D 2010
%I 
%X In view of the problem which traditional clustering methods need equilibrium detection class,this paper discussesd that quotient space granularity transformation could make complex problem to be solved in different granularity world basing on quotient space granularity theory, and ultimately simplified the whole problem.Then analyzed the similarity of the quotient space division and the clustering operation and put forward the method of granularity clustering based on quotient space. Moreover,combining the method and intrusion detection technology, constructed the intrusion detection system on the basis of quotient space granularity clustering and used the system to realize anomaly detection on the KDD CUP 1999 data sets. Finally experimental results show that the intrusion detection system is superior to other systems which is based on the traditional clustering methods.All these prove the correctness and effectiveness of the method.
%K quotient space
%K granularity computing
%K clustering
%K anomaly intrusion detection<br>商空间
%K 粒度计算
%K 聚类
%K 异常入侵检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=5E23DC6A0BFE7971B978B74A95DBE681&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=94C357A881DFC066&sid=23E2AE7BE4186237&eid=B7C453D138C8DFC1&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9