基于实时方差时间图法的DDoS攻击检测

DDoS attack detection based on real-time variance-time plots

分布式拒绝服务攻击(DDoS)是目前最难解决的网络安全问题之一。基于自相似理论求解Hurst参数值存在的问题,在改进的方差时间图算法(OTVTP)的基础上,文章提出了基于自相似参数方差检测DDoS攻击的方法,并设计了采用该方法检测DDoS攻击的模型。实验结果表明,提出的方法能实时、准确检测和区分由DDoS攻击引起的Hurst参数变化,且检测率比传统方法要高。

Distributed Denial of Service （DDoS） attackis one of the most difficult problems to resolve in the network security field. Basing on the improved Variance-time plots algorithm, this paper proposed a new detection method and designed the corresponding detection model. Experimental result shows the proposed method not only realizes the real-time calculation of Hurst parameter, real-time detection, but also can distinguish the change of the Hurst parameter eorreetly and the Detection Rate is higher than the traditional methods as well.