DDoS attack detection model based on wavelet
Guangming Tang · Jisuanji yingyong yanjiu · 2011
Aiming at the bad detection rate and misdetection rate in DDoS detection using traditional methods,this paper proposed a DDoS attack detection model based on wavelet.Firstly,the monitor established the traffic serial according to inspect the network,then updated the analysis scale based on the length of the traffic serial,finally estimated the hurst parameter which was the main character of the long range dependence.So it could judge the server being attacked or not to check the change of the hurst parameter.Simulation results reveal that the proposed approach has a better detection rate and lower misdetection rate,and consumes less time.