%0 Journal Article
%T Intrusion detection algorithm based on quantum genetic clustering<br>基于量子遗传聚类的入侵检测方法*
%A ZHA Quan-min
%A WANG Rong-gui
%A HE Wei
%A <br>查全民
%A 汪荣贵
%A 何畏
%J 计算机应用研究
%D 2010
%I 
%X The presented intrusion detection algorithm based on clustering need to know the cluster number before it works in clustering process. And the algorithm performance is decided by the order of input data. So, this paper proposed a new intrusion algorithm that based on quantum genetic clustering to solve the problems. The basic ideal of the algorithm was to create the initialization clusters with the cluster method, and then used the improved quantum genetic algorithm in the clusters combinatorial optimization.At last,used this method to detect intrusion. The experimental results demonstrate that this method can detect intrusion datas efficiently in the network environment.
%K intrusion detection
%K clustering
%K quantum genetic algorithm
%K combinatorial optimization<br>入侵检测
%K 聚类
%K 量子遗传算法
%K 组合优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=0FF6CBEEADC8598088C4D0984EF1F7C5&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=C812B90E96151014&eid=B78CD622C1934236&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11