Jun Lv, Tsinghua University, Beijing 100084, China
Xing Li, Tsinghua University, Beijing 100084, China
Congsen Ran, Tsinghua University, Beijing 100084, China
Tong Li, Tsinghua University, Beijing 100084, China
Abstract In this paper, a new algorithm is suggested to solve the network traffic anomaly detection problem. Wavelet Generalized Likelihood Ratio (WGLR) algorithm, which smartly combines Generalized Likelihood Ratio algorithm and wavelet method, and captures the failure point in real time. Simulating and network traffic experiment has demonstrated that the algorithm has the better performance in fault detection.
Citation:
Jun Lv, Xing Li, Congsen Ran, Tong Li, "A New Algorithm for Network Anomaly Detection," iccgi, pp.54, International Multi-Conference on Computing in the Global Information Technology - (ICCGI'06), 2006