Title
Anomaly detection in VoIP traffic with trends
Author
Mata, F.
Zuraniewski, P.W.
Mandjes, M.
Mellia, M.
Publication year
2012
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). © 2012 ITC.
Subject
Communication & Information
PNS - Performance of Networks & Services
TS - Technical Sciences
Vital ICT Infrastructure
Information Society
To reference this document use:
http://resolver.tudelft.nl/uuid:43b96398-84ed-4daa-b586-f2c8a85e4c49
TNO identifier
466438
Source
2012 24th International Teletraffic Congress, ITC 2012, 4-7 September 2012, Krakow, Poland, 9-16
Document type
conference paper