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基于网络流量自相似的DDoS攻击检测方法
引用本文:韩忠明,刘伟,蔡文青,梁斌,刘昭. 基于网络流量自相似的DDoS攻击检测方法[J]. 石河子大学学报(自然科学版), 2007, 25(3): 390-393
作者姓名:韩忠明  刘伟  蔡文青  梁斌  刘昭
作者单位:石河子大学信息科学与技术学院,新疆石河子,832000;石河子大学外国语学院,新疆石河子,832000
摘    要:分布式拒绝服务攻击(DDoS)是目前黑客经常采用并极为有效的网站攻击手段。本文在验证局域网流量具有严格自相似性的同时,介绍了常用的Hurst参数计算方法。通过大量实验研究了DDoS攻击对Hurst系数产生的定量影响,并在实验数据分析的基础上,提出了攻击发生和结束的准确判据。实验结果显示,该方法性能良好。

关 键 词:Hurst系数  自相似性  流量检测
文章编号:1007-7383(2007)03-0390-04
修稿时间:2006-11-22

A Decision Condition of DDoS Attack Based on the Hurst Parameter of Network Traffic Self-similarity
HAN Zhong-ming,LIU Wei,CAI Wen-qing,LIANG Bin,LIU Zhao. A Decision Condition of DDoS Attack Based on the Hurst Parameter of Network Traffic Self-similarity[J]. Journal of Shihezi University(Natural Science), 2007, 25(3): 390-393
Authors:HAN Zhong-ming  LIU Wei  CAI Wen-qing  LIANG Bin  LIU Zhao
Abstract:DDoS(Distributed Denial of Service) is a common effective means employed by Hackers to attack internet web sites at present.A decision condition of DDoS attack based on the Hurst parameter of network traffic self-similarity is presented.This paper gives some common calculation methods of Hurst parameter.The quantitative influence on Hurst parameter caused by DDoS attack is studied through a lot of experiments.Based on the analysis of these experiment data,a precise criterion of start and end of DDoS attack is put forward.The experiments show that the performance of this method is good.
Keywords:Hurst parameter  self-similarity  traffic detection
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