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基于自相似检测DDoS攻击的小波分析方法
引用本文:任勋益,王汝传,王海艳.基于自相似检测DDoS攻击的小波分析方法[J].通信学报,2006,27(5):6-11.
作者姓名:任勋益  王汝传  王海艳
作者单位:1. 南京邮电大学,计算机学院,江苏,南京,210003
2. 南京邮电大学,计算机学院,江苏,南京,210003;南京大学,计算机软件新技术国家重点实验室,江苏,南京,210093
基金项目:中国科学院资助项目;国家科技攻关项目;江苏省自然科学基金;江苏省高技术研究发展计划项目;江苏省重点实验室基金;江苏省高校自然科学基金
摘    要:针对传统检测方法不能有效检测弱DDoS攻击和区分繁忙业务和攻击的问题,在研究 DDOS攻击对网络流量自相似性影响的基础上,提出了小波分析检测DDoS攻击的方法,并设计了采用该方法检测DDoS攻击的模型,解决了方法实现过程中小波选择、求解Hurst参数的一些关键问题,实验表明,提出的方法能够识别繁忙业务、检测到弱DDoS攻击引起的Hurst参数值的变化,比传统的检测方法准确灵敏.

关 键 词:异常检测  分布式拒绝服务  自相似  小波变换
文章编号:1000-436X(2006)05-0006-06
收稿时间:2005-10-09
修稿时间:2005-10-092006-02-10

Wavelet analysis method for detection of DDoS attack based on self-similar
REN Xun-yi,WANG Ru-chuan,WANG Hai-yan.Wavelet analysis method for detection of DDoS attack based on self-similar[J].Journal on Communications,2006,27(5):6-11.
Authors:REN Xun-yi  WANG Ru-chuan  WANG Hai-yan
Affiliation:1. College of Computer, Nanjing University of Posts and Telecommunications,Nanjing 210003, China; 2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China
Abstract:Since traditional methods was not suitable for detection of small DDoS attack and identify of busy traffic, based on the influence of DDoS attack, one wavelet analysis method was proposed. Wavelet method of coefficient variance analysis was deduced and software model for the method was designed. In addition, key issues of the choice of wavelet and calculation of Hurst were resolved, The experimental results show that the proposed method has more advantages in accurately identify busy traffic and detection of small DDoS attack.
Keywords:abnormal detection  distribute denial of service  self-similarity  wavelet transform
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