A Scheme For Fast Network Traffic Anomaly Detection
Fast network traffic anomaly detection is an important issue in network security. At present, the Internet environment becomes more and more complex than ever before. The unexpected anomaly occurs constantly, which brings great loss to Internet services. This makes people put forward higher requirements for the speed and real-time of network traffic anomaly detection. How to quickly perceive the traffic anomaly is a new demand in the network anomaly detection. Due to the shortage of the conventional detection methods in terms of speed, a fast anomaly detection scheme is proposed in this paper, which is based on the iterative estimation of Hurst parameter. The anomaly can be determined through the value of estimation. Meanwhile, by online we can estimate continuously and refresh the value of Hurst according to the latest network traffic, and then we can get the latest traffic data and speed up the process of anomaly detection. Analyses show that this scheme is effective in fast anomaly detection.
anomaly detection fast hurst iteration
Xiaofen Wang Liaojun Pang Qingqi Pei Xuejun Li
Mini, of Edu.Key Lab.Of Comp.Netw.& Info.Secu., Xidian Univ., Xian 710071, China
国际会议
太原
英文
592-596
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）