计算机工程与应用Issue(24)：4-7,4.DOI:10.3778/j.issn.1002-8331.1303-0020
基于快速分数阶傅氏变换的DDoS攻击检测
DDoS attack detection based on fast fractional Fourier transform
摘要
Abstract
Aiming at the low detecting accuracy, high training complexity and poor adaptability in DDoS attacks detection methods, a new DDoS attack model based on fast fractional Fourier transform is proposed. It utilizes the principle that DDoS attacks would impact the self-similarity of the traffic, then detects DDoS attacks by monitoring the change range of the Hurst parameter. In DARPA2000 dataset and TFN2K attacks traffic under different intensity, this paper compares the new algorithm with wavelet method and etc. The experimental results reveal that the method has lower compute complexity and better detecting accuracy.关键词
分布式拒绝服务/快速分数阶Fourier变换/自相似性/Hurst指数Key words
distributed denial of service/fast fractional Fourier transform/self-similarity/Hurst parameter分类
信息技术与安全科学引用本文复制引用
陈世文,郭通,黄万伟..基于快速分数阶傅氏变换的DDoS攻击检测[J].计算机工程与应用,2013,(24):4-7,4.基金项目
国家重点基础研究发展规划（973）（No.G2012CB315900）。 （）
