• 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