Title :
Detection of Anomalous Behaviors in Networks from Traffic Measurements
Author :
Giorgi, Giada ; Narduzzi, Claudio
Author_Institution :
Dipt. di Ingegneria dell´´Informazione, Universita di Padova
Abstract :
Analysis and monitoring of traffic measurements can provide a useful tool for diagnostic, troubleshooting and performance analysis in networks. This paper presents a method for traffic analysis, based on the theory of extreme values. Numerical time series obtained from traffic measurements are processed to compute statistical indicators and analyze them to detect significant local features, which may point to some critical network behavior
Keywords :
statistical analysis; telecommunication networks; telecommunication traffic; anomalous behavior detection; anomaly detection; critical network behavior; extreme value theory; network measurement; numerical time series; performance analysis; statistical indicators; traffic measurement analysis; traffic measurement monitoring; Bandwidth; Computer networks; Computer vision; Monitoring; Performance analysis; Quality of service; Telecommunication traffic; Time measurement; Time series analysis; Traffic control; anomaly detection; extreme value theory; network measurement; probability paper;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328439
