%0 Journal Article
%T Research on Data Mining-based Intrusion Feature Selection and Construction<br>基于数据挖掘的入侵特征选择与构造的新方法*
%A ZHAO Wen-wu
%A LIU Xue-fei
%A WU Bo-qiao
%A <br>赵文武
%A 刘雪飞
%A 吴伯桥
%J 计算机应用研究
%D 2005
%I 
%X Intrusion detection is a classification issue, performance of classification model is determined by feature selection. Computer security dont be considered when designing computer system, there is no standard auditing mechanism and specific data format for intrusion detection analyst. This paper discusses feature selection method through extending basic data mining algorithm analyzing data source, constructing new features to increase accurate intrusion detection rate through comparing mined normal patterns and anomaly patterns.
%K Feature Selection
%K Feature Construction
%K Data Mining
%K Intrusion Detection<br>特征选择
%K 特征构造
%K 数据挖掘
%K 入侵检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EDF89024CB929B2B&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=E158A972A605785F&sid=1F199509C0B6C4D6&eid=B47A0E731AF43EB2&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=3