用于DDoS攻击检测的自相似网络流量生成  

Generation of Self-similarity Network Traffic for Detecting DDOS Attack

作　　者：郝大为[1] 郝震华[2] 潘艳辉[2] 

机构地区：[1]武汉军械士官学校雷达系,武汉430075 [2]军械工程学院计算机工程系,石家庄050003

出　　处：《科学技术与工程》2009年第5期1323-1326,共4页Science Technology and Engineering

摘　　要：由于DDoS攻击会破坏或者影响网络正常流量的自相似特性,据此来检测DDoS攻击是一种行之有效的方法;然而如何生成网络正常流量,是DDoS攻击检测的一个关键部分。描述了一种生成自相似网络流量的方法,并运用该方法实现了生成自相似网络流量的网络流量模拟子系统,解决了DDoS攻击检测所需的正常流量问题。As it can damage or affect the self-similarity of normal network traffic, DDoS attack can be effectively detected with the changes in the self-similarity of network traffic. However, how to generate normal network tragic still remains essential in detecting DDoS attack. A method is proposed for generating self-similarity network traffic and with the method obtains a subsystem of network traffic simulation which can generate network traffic, thus pro- ving the solution to the generation of normal traffic necessary for DDos attack detection.

关 键 词：ON/OFF网络流量模型 网络流量模拟 DDOS攻击 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]