%0 Journal Article
%T DDoS attack detection model based on wavelet<br>一种基于小波求解的DDoS攻击检测模型
%A LV Ji
%A TANG Guang-ming
%A <br>吕佳
%A 汤光明
%J 计算机应用研究
%D 2011
%I 
%X After analyzing the detecting method, a DDoS attack detection model based on wavelet is proposed. The traffic serial is established according to monitor the network, then estimate the Hurst parameter which is the main character of the long range dependence, to check the change of the Hurst parameter to judge the server being attacked or not. Simulation results reveal that the proposed approach has a better detection rate and lower misdetection rate, and consumes less time.
%K DDoS attack
%K wavelet analysis
%K self-similar
%K hurst parameter<br>DDoS攻击
%K 小波分析
%K 自相似
%K Hurst指数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C67B5D140A27D9468FD0B5F94448D445&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=E158A972A605785F&sid=CFB9125E4BCA3130&eid=193F3A809807D248&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10