Title :
A New Algorithm for Network Anomaly Detection
Author :
Lv, Jun ; Li, Xing ; Ran, Congsen ; Li, Tong
Author_Institution :
China Educ. & Res. Network, Tsinghua Univ., Berlins
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
Keywords :
maximum likelihood estimation; telecommunication security; telecommunication traffic; wavelet transforms; generalized likelihood ratio algorithm; network traffic anomaly detection; wavelet transform; Condition monitoring; Detection algorithms; Fault detection; Internet; Programmable logic arrays; Spine; Telecommunication traffic; Testing; Traffic control; Wavelet transforms;
Conference_Titel :
Computing in the Global Information Technology, 2006. ICCGI '06. International Multi-Conference on
Conference_Location :
Bucharest
Print_ISBN :
0-7695-2690-X
Electronic_ISBN :
0-7695-2690-X
DOI :
10.1109/ICCGI.2006.5
