Title :
Anomaly Identification Based on Flow Analysis
Author :
Quyen, Le The ; Zhanikeev, Marat ; Tanaka, Yoshiaki
Author_Institution :
Global Inf. & Telecommun. Inst., Waseda Univ., Tokyo
Abstract :
Recently, the concern about network management and network security has inspired many research topics, among which, research on detecting and identifying anomalies has attracted a lot of interest. In this paper, we propose an anomaly identification method based on traffic flow analysis. The result of the research proves that by assembling some features of traffic flows and calculating some specific extended metrics, we can successfully detect and identify network anomalies with high accuracy. Besides, the method also proves its efficiency with the ability to quantify network anomalies and locate relevant network nodes. The research validity has been verified by both simulation data and real network data
Keywords :
computer network management; internetworking; telecommunication congestion control; telecommunication security; telecommunication traffic; anomaly identification method; internetworking; network management; network security; traffic flow analysis; Assembly; Change detection algorithms; Computer crashes; Electronic mail; Engineering management; Floods; Information analysis; Information security; Telecommunication network management; Telecommunication traffic;
Conference_Titel :
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location :
Hong Kong
Print_ISBN :
1-4244-0548-3
Electronic_ISBN :
1-4244-0549-1
DOI :
10.1109/TENCON.2006.344124
