Frontiers of Electrical and Electronic Engineering >

2007 , Vol. 2 >Issue 1: 73 - 77

DOI: https://doi.org/10.1007/s11460-007-0013-z

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

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  • College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;

Published date: 05 Mar 2007

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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.

Cite this article

REN Xunyi, WANG Ruchuan, WANG Haiyan . Wavelet analysis method for detection of DDoS attack on the basis of self-similarity[J]. Frontiers of Electrical and Electronic Engineering, 2007 , 2(1) : 73 -77 . DOI: 10.1007/s11460-007-0013-z

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