Detection of Anomalous Behaviors in Networks from Traffic Measurements

Author

Giorgi, Giada ; Narduzzi, Claudio

Author_Institution

Dipt. di Ingegneria dell´´Informazione, Universita di Padova

fYear

2006

fDate

24-27 April 2006

Firstpage

330

Lastpage

335

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE

Conference_Location

Sorrento

ISSN

1091-5281

Print_ISBN

0-7803-9359-7

Electronic_ISBN

1091-5281

Type

conf

DOI

10.1109/IMTC.2006.328439

Filename

4124338