A DDOS Intrusion Detection Method Based On Data Mining

被引：0
|
作者：
Tian Jun-feng [1 ]
Pang Tao [1 ]
Du Rui-zhong [1 ]
机构：
[1] HeBei Univ, Coll Math & Comp Sci, Baoding 071002, Peoples R China
来源：
2008 INTERNATIONAL WORKSHOP ON INFORMATION TECHNOLOGY AND SECURITY | 2008年
关键词：
DdoS; detection; attack; traffic analysis; cluster algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
DDoS attacks has become a serious threat against network security. In this paper we propose a novel method for detection of DDoS attacks by studying its architecture and the change of network traffic in the process of attack. And software model for the method is designed. In addition, Key issues of the choice of parameter and the cluster analysis of the sample is resolved. The simulation test result shows that the attack can be detected accurately and police error rate is very low. This method is simpler and easier to achieve than the traditional detection method.
引用
收藏
页码：42 / 46
页数：5
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