DocumentCode
3565710
Title
Anomaly detection in VoIP traffic with trends
Author
Mata, Felipe ; Zuraniewski, Piotr ; Mandjes, Michel ; Mellia, Marco
Author_Institution
High Performance Comput. & Networking Group, Univ. Autonoma de Madrid, Madrid, Spain
fYear
2012
Firstpage
1
Lastpage
8
Abstract
In this paper we present methodological advances in anomaly detection, which, among other purposes, can be used to discover abnormal traffic patterns under the presence of deterministic trends in data, given that specific assumptions about the traffic type and nature are met. A performance study of the proposed methods, both if these assumptions are fulfilled and violated, shows good results in great generality. Our study features VoIP call counts, but the methodology can be applied to any data following, at least roughly, a non-homogeneous Poisson process (think of highly aggregated traffic flows).
Keywords
Internet telephony; computer network performance evaluation; computer network security; stochastic processes; telecommunication traffic; VoIP call counts; VoIP traffic; abnormal traffic pattern discovery; anomaly detection; deterministic data trends; nonhomogeneous Poisson process; voice over Internet protocol; Correlation; Data models; Degradation; Exponential distribution; Market research; Time measurement; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Teletraffic Congress (ITC 24), 2012 24th International
Print_ISBN
978-1-4673-1292-9
Electronic_ISBN
978-0-9836283-3-0
Type
conf
Filename
6331812
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