%0 Journal Article
%T Application of Support Vector Machines on Network Abnormal Intrusion Detection<br>支持向量机在网络异常入侵检测中的应用*
%A ZHANG Kun
%A CAO Hong-xin
%A YAN Han
%A LIU Feng-yu
%A <br>张琨
%A 曹宏鑫
%A 严悍
%A 刘凤玉
%J 计算机应用研究
%D 2006
%I 
%X Apply SVM technique to network intrusion detection, and propose a network abnormal intrusion detection model based on SVM. The experimental results demonstrate that the proposed model has higher detection accuracy of intrusions, especially for some unknown attacks. It proves that SVM can effectively detect intrusion.
%K Network Intrusion Detection
%K Abnormal Detection
%K Support Vector Machine(SVM)
%K Statistical Learning Theory<br>网络入侵检测
%K 异常检测
%K 支持向量机
%K 统计学习理论
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=5C7E5691EF389CE2&yid=37904DC365DD7266&vid=EA389574707BDED3&iid=94C357A881DFC066&sid=10F298ED9F164662&eid=8C83C265AD318E34&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=6&reference_num=12