%0 Journal Article
%T A New Model of Anomaly Network Flow Detection<br>一种新的网络异常流量检测模型
%A Tu XuPing
%A Jin Hai
%A He LiLi
%A Yang ZhiLing
%A Tao ZhiFei
%A <br>涂旭平
%A 金海
%A 何丽莉
%A 杨志玲
%A 陶智飞
%J 计算机科学
%D 2005
%I 
%X The main methods to detect anomaly network flow are through comparison between the system's actual ac- tion pattern and normal action pattern. There is a trade-off between real-time and veracity in anomaly network flow de- tection, this paper presents a new model -adjustable Chi-Square T~2 model, according to a set of trusty coefficient. Through adjusting these coefficients, a trusty measure can contribute more value to the total anomaly value with a high factor, this will observably improve detection rate.
%K Flow detect
%K Anomaly detect
%K Measure coefficient<br>流量检测
%K 异常检测
%K 测度系数
%K 流量检测系统
%K 检测模型
%K 网络异常
%K 行为模式
%K 可信度
%K 检测效率
%K 实时性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=058286EA0DC5D856&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=5D311CA918CA9A03&sid=42425781F0B1C26E&eid=7C3A4C1EE6A45749&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10