Wavelet analysis method for detection of DDoS attack on the basis of self-similarity

Research Article

DOI: 10.1007/s11460-007-0013-z

Cite this article as:
Ren, X., Wang, R. & Wang, H. Front. Electr. Electron. Eng. China (2007) 2: 73. doi:10.1007/s11460-007-0013-z

Abstract

As the traditional methods were not suitable for the detection of small distribute denial of service (DDoS) attack and identification of busy traffic, on the basis of the influence of DDoS attack, one wavelet analysis method was proposed. Wavelet method of coefficient variance analysis was deduced and a 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 identifying busy traffic and detection of small DDoS attack.

Keywords

abnormal detection distribute denial of service self-similarity wavelet transform 

Copyright information

© Higher Education Press and Springer-Verlag 2007

Authors and Affiliations

  1. 1.College of ComputerNanjing University of Posts and TelecommunicationsNanjingChina

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