DocumentCode
774531
Title
Detection of Anomalous Behaviors in Networks From Traffic Measurements
Author
Giorgi, Giada ; Narduzzi, Claudio
Author_Institution
Dept. of Inf. Eng., Univ. of Padova, Padova
Volume
57
Issue
12
fYear
2008
Firstpage
2782
Lastpage
2791
Abstract
Analysis and monitoring of traffic measurements can provide a useful tool for diagnostics, 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 distributions; telecommunication network management; telecommunication traffic recording; Gumbel distribution; anomaly detection; extreme value theory; network measurement; traffic measurement; Anomaly detection; Gumbel distribution; extreme value theory; network measurement; probability paper;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2008.926046
Filename
4550741
Link To Document