[Gui, Bingxiang; Zhou, Kang; Zhou, Wanlei] Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan 430040, Peoples R China.
通讯机构：
[Gui, Bingxiang] W
Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan 430040, Peoples R China.
语种：
英文
关键词：
Low-rate distributed denial of service attack (DDoS);Information divergence metrics;Collaborative detection algorithm;IP traceback algorithm
期刊：
4TH INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING FOR ADVANCED TECHNOLOGIES (ICMEAT 2015)
年：
2015
页码：
565-568
会议名称：
4th International Conference on Materials Engineering for Advanced Technologies (ICMEAT)
会议论文集名称：
Proceedings of 4th International Conference on Materials Engineering for Advanced Technologies（ICMEAT 2015）
会议时间：
JUN 27-28, 2015
会议地点：
London, ENGLAND
会议主办单位：
[Gui, Bingxiang;Zhou, Wanlei;Zhou, Kang] Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan 430040, Peoples R China.
出版地：
439 DUKE STREET, LANCASTER, PA 17602-4967 USA
出版者：
DESTECH PUBLICATIONS, INC
ISBN：
978-1-60595-242-0
基金类别：
supported by National Natural Science Foundation of China under Grant No. 61179032
机构署名：
本校为第一且通讯机构
院系归属：
数学与计算机学院
摘要：
A low-rate distributed denial of service（DDo S） attack has significant ability to conceal its traffic because it can be able to elude the current anomaly-based detection methods. In this paper, we present a collaborative detection algorithm using the generalised entropy metric and the information divergence metric to detect low-rate DDo S attacks by measuring the difference between legitimate traffic and attack traffic. The experimental results show that the presented algorithm can effectively detect low-rate DDo S attacks and clearly reduce ...
