An adaptive method for anomaly detection in symmetric network traffic

被引：1

作者：

Yu, Ming

Zhou, Xi-Yuan

机构：

[1] Xidian Univ, Sch Commun Engn, Xian 710071, Peoples R China

[2] 54th Res Ints CETC, Shijiazhuang 050081, Peoples R China

来源：

COMPUTERS & SECURITY | 2007年 / 26卷 / 06期

关键词：

anomaly detection; inside security; algorithm design; network security; sequential analysis;

D O I：

10.1016/j.cose.2007.06.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Symmetry is an obvious phenomenon in two-way communications. in this paper, we present an adaptive nonparametric method that can be used for anomaly detection in symmetric network traffic. Two important features are emphasized in this method: (i) automatic adjustment of the detection threshold according to the traffic conditions; and (ii) timely detection of the end of an anomalous event. Source-end defense against SYN flooding attacks is used to illustrate the efficacy of this method. Experiments on real traffic traces show that this method has high detection accuracy and low detection delays, and excels at detecting low intensity attacks. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：427 / 433

页数：7

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