Print Email Facebook Twitter Anomaly detection in VoIP traffic with trends 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 & InformationPNS - Performance of Networks & ServicesTS - Technical SciencesVital ICT InfrastructureInformation 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 Files To receive the publication files, please send an e-mail request to TNO Library.