A DDoS Attack Detecting Method Based on Wavelet and Fractal Theory
Cheng Zhong · Microelectronics & Computer · 2007
Based on the discrete wavelet transformation and fractal theory, this paper presents a DDoS detecting algorithm. This method has the character of DDoS attack appear clear by multiresolution analysis of wavelet transformation, and undertake box dimensions calculation for the transformation coefficient of discrete wavelet. the key box dimensions are confirmed by the experiment and are regarded as vector sequence of multidimensions space. Then the DDoS are recognized by applying the K-nearest neighbor classifier trained by the samples. The results of experiment show that the presented algorithm of combination of wavelet transformation and fractal theory can detect the DDoS attacks effectively. Comparing with the detecting method of discrete wavelet transformation, this method has improved the accuracy of detecting.