• DocumentCode
    3184071
  • Title

    EWMA Statistic in Adaptive Threshold Algorithm

  • Author

    Cisar, P. ; Cisar, S. Maravic

  • Author_Institution
    Telekom Srbija, Subotica
  • fYear
    2007
  • fDate
    June 29 2007-July 2 2007
  • Firstpage
    51
  • Lastpage
    54
  • Abstract
    Intrusion detection is used to monitor and capture intrusions into computer and network systems which attempt to compromise the security of computer and network systems. Many intrusions manifest in dramatic changes in the intensity of events occurring in information systems. Because of the ability of exponentially weighted moving average (EWMA) control charts to monitor the rate of occurrences of events based on their intensity, this technique is widely used in intrusion detection systems (IDS). One of the applications of this technique is in adaptive threshold algorithm. The performance of this method is in function of several parameters. This paper describes an approach to their choice.
  • Keywords
    computer networks; control charts; statistical analysis; telecommunication control; telecommunication security; telecommunication traffic; EWMA control charting technique; EWMA statistic; adaptive threshold algorithm; computer systems; exponentially weighted moving average control charts; intrusion detection systems; malicious network statistical anomaly detection; network systems; traffic usage; Computer networks; Computer security; Computerized monitoring; Control charts; Educational institutions; Information security; Intrusion detection; Smoothing methods; Statistics; Yttrium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems, 2007. INES 2007. 11th International Conference on
  • Conference_Location
    Budapest
  • Print_ISBN
    1-4244-1147-5
  • Electronic_ISBN
    1-4244-1148-3
  • Type

    conf

  • DOI
    10.1109/INES.2007.4283671
  • Filename
    4283671