• DocumentCode
    17662
  • Title

    Sliding Modes for Anomaly Observation in TCP Networks: From Theory to Practice

  • Author

    Rahme, S. ; Labit, Yann ; Gouaisbaut, Frederic ; Floquet, Thierry

  • Author_Institution
    LAAS, Toulouse, France
  • Volume
    21
  • Issue
    3
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    1031
  • Lastpage
    1038
  • Abstract
    Anomaly detection has been an active open problem in the networks community for several years. In this brief, we aim at detecting such abnormal signals by control theory techniques. Several classes of sliding mode observers are proposed for a fluid flow model of the transmission control protocol (TCP)/internet protocol network. Comparative simulations via network simulator NS-2 show the enhancement brought by a higher order sliding mode observer. The efficiency of this observer opens the way toward observing traffics with real TCP flow characteristics. To achieve this end, trace replay techniques for TCP traffic traces are presented. Finally, experiments lead to successful anomaly estimation under real traffic conditions.
  • Keywords
    Internet; discrete event simulation; observers; telecommunication traffic; transport protocols; variable structure systems; TCP flow characteristics; TCP networks; TCP traffic traces; Transmission Control Protocol-Internet Protocol network; anomaly detection; anomaly estimation; anomaly observation; control theory techniques; fluid flow model; higher order sliding mode observer; network simulator NS-2; trace replay techniques; Asymptotic stability; Convergence; Mathematical model; Observers; Protocols; Shape; Stability analysis; Anomalies; NS-2; TCP Protocol; faults detection and reconstruction; quality of service; sliding mode observers; time delayed systems; traffic trace replay;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2012.2198648
  • Filename
    6214591