%0 Journal Article
%T Comparisons of SVM and LS-SVM for Intrusion Detection<br>基于支持向量机和最小二乘支持向量机的入侵检测比较
%A REN Xun-yi WANG Ru-chuan
%A XIE Yong-juan
%A <br>任勋益
%A 王汝传
%A 谢永娟
%J 计算机科学
%D 2008
%I 
%X This paper utilizes support vector machine and least square-support vector machine for intrusion detection.We normalizae data,reduce the data with principal component analysis,train and test reduced data with support vector and least square support vector machine.We do three experiments on KDDCUP'99 data set,and utilize Receiver Operating Characteristics curves to evaluate classifier's ability of SVM and LS-SVM,and statistic time cost.Experimental results show SVM has more classifying ability than LS-SVM,bu...
%K Support vector machine
%K Least square support vector machine
%K Intrusion detection
%K Principal component analysis<br>支持向量机
%K 最小二乘支持向量机
%K 入侵检测
%K 主元分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=7AA6B6A5612CFA411F8EC08ECC875880&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=F3090AE9B60B7ED1&sid=06EA2770E96C5402&eid=CD775AE9DDBD7B53&journal_id=1002-137X&journal_name=计算机科学&referenced_num=2&reference_num=8