• DocumentCode
    2771515
  • Title

    Adaptive firewall model to detect email viruses

  • Author

    Yoo, InSeon

  • Author_Institution
    Dept. of Informatics, Pribourg Univ., Switzerland
  • fYear
    2004
  • fDate
    11-14 Oct. 2004
  • Firstpage
    197
  • Lastpage
    198
  • Abstract
    This paper presents an adaptive approach to preventing the damage caused by viruses that travel via email. The approach protects intranet machines from outside infected machines by spreading email viruses. This directly addresses the two ways that viruses cause damage: less machines spreading the virus will reduce the number of machines infected and reduce the traffic generated by the virus. We present our firewall model and address how to detect email viruses based on protocol sanity, probabilistic estimation of maliciousness, and patterns recognition.
  • Keywords
    authorisation; computer viruses; electronic mail; intranets; pattern recognition; probability; protocols; adaptive firewall model; email virus detection; infected machines; intranet machines; patterns recognition; probabilistic maliciousness estimation; protocol sanity; Bayesian methods; Computer viruses; Decision trees; Engines; Informatics; Pattern recognition; Postal services; Protection; Protocols; Viruses (medical);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology, 2004. 38th Annual 2004 International Carnahan Conference on
  • Print_ISBN
    0-7803-8506-3
  • Type

    conf

  • DOI
    10.1109/CCST.2004.1405392
  • Filename
    1405392