摘要
针对传统检测方法存在的问题 ,提出了一种新型的网络流量异常检测方法。在对网络流量的自相似性参数 :Hurst参数、Hurst参数的时变函数H(t)的分析基础上 ,对网络流量异常带来的自相似性变化做了研究 ,并通过检测自相似性变化的异常来判断网络流量异常的出现。研究表明 。
This paper presents a new method of network traffic abnormity detection in light with the difficulties in traditional procedure. From an investigation on the Self Similarity parameters of network traffics, Hurst and it's time variable function H(t), the changes in Self Similarity brought by traffic abnormity have been analyzed. The detected abnormal changes in Self Similarity have been used to determine network traffic abnormity. From this investigation, the statistical analysis of network traffic will detect any network traffic abnormity.
出处
《燃气涡轮试验与研究》
2003年第3期45-49,共5页
Gas Turbine Experiment and Research