%0 Journal Article
%T Improved negative selection algorithm for network anomaly detection on high-dimensional data<br>高维数据环境下网络异常检测的改进否定选择算法
%A GUO Wen-zhong
%A CHEN Guo-long
%A CHEN Qing-liang
%A <br>郭文忠
%A 陈国龙
%A 陈庆良
%J 计算机应用
%D 2009
%I 
%X Negative Selection(NS) algorithm of artificial immunology has been successfully applied to anomaly detection on some low-dimension data,but the performance becomes unfavorable on high-dimension data.Real-valued negative selection algorithm with variable-sized detectors(VRNS) was applied to network intrusion detection and a variation of it(IVRNS) was proposed to improve the performance on high-dimension data.In the improved algorithm,the detectors were used to control the coverage of them according to the ov...
%K intrusion detection
%K anomaly detection
%K artificial immunology
%K negative selection algorithm
%K high-dimensional data<br>入侵检测
%K 异常检测
%K 人工免疫
%K 否定选择算法
%K 高维数据
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=6A72FF99782C548955AD6942ED5FDE80&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=38B194292C032A66&sid=8C8D39B86A1EED4F&eid=4FBF7A066D63EF1A&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=13