%0 Journal Article
%T DDoS Detection Algorithm Based on Cluster of Entropy<br>基于信息熵聚类的DDoS检测算法
%A 赵慧明
%A 刘卫国
%J 计算机系统应用
%D 2010
%I 
%X The entropy is used to represent the feature of DDoS, and the entropy is clustered by K-means algorithm. The threshold of DDoS detection is gotten from analyzing statistical normal network packets, then the normal characteristics training set is updated, and the DDoS is recognized on the basis of threshold. The experiments show that the measure can implement trainings and testing processes rapidly, and it can detect existence of DDoS effectively.
%K distributed denial of service
%K entropy
%K K-means algorithm<br>分布式拒绝服务
%K 信息熵
%K K-means算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=CD38B6797655753A67E0D96C67146CB2&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=59906B3B2830C2C5&sid=F260CE035846B3B8&eid=ED01F5AE50BE09C0&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=9