DDoS Attack Detection Method Based on Improved Wavelet Analysis
Dan Zhang · Jisuanji gongcheng · 2010
In order to detect Distributed Denial of Service(DDoS) attack accurately and timely, a new detection method based on Principle Component Analysis(PCA) and wavelet analysis is proposed. Software model and algorithm for detection of DDoS attack is presented. In addition, key reasons for the change of the Hurst’s value in the new method are analyzed. Experimental results show the method reduces the dependence for threshold, promotes the detection rate, avoids the situation of fail report and distort. It also improves the detection speed.