%0 Journal Article
%T A Novel IDS Evaluation Model Based by Bayes Estimation<br>一种基于贝叶斯判决的先进入侵检测模型
%A LUO Guang-Chun LU Xian-Liang LI Jiong ZHANG Jun
%A <br>罗光春
%A 卢显良
%A 李炯
%A 张骏
%J 计算机科学
%D 2003
%I 
%X One key problem for intrusion detection system is the correctness and efficiency of detection algorithm. This paper presents a revised detection algorithm through the use of Bayes decision. Bayes decision is a random pattern classified recognition method of the pattern recognition theory. The algorithm in this paper is designed refer to the lest.risk Bayes decision. Experiments show that this algorithm has better performance. In the paper,we firstly introduce the Bayes algorithm and threshold selection algorithm. Then depending on the decision, the detection algorithm of intrusion detection system is designed. In the end,the experiment results are provided.
%K IDS
%K Bayes estimation
%K Evaluation<br>入侵检测系统
%K 网络攻击
%K 网络安全
%K 贝叶斯算法
%K 入侵检测模型
%K 计算机网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=735F4AD254D9CF04&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=5D311CA918CA9A03&sid=771152D1ADC1C0EB&eid=987EDA49D8A7A635&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=10