• DocumentCode
    1804410
  • Title

    An Evaluating Model for Anti-virus Ability Based on AHP

  • Author

    Liu, Ming ; Han, LanSheng ; Zou, Mengsong ; Liu, Qiwen

  • Author_Institution
    Sch. of Comput. Sci. & Technol., HUST, Wuhan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    29-31 Aug. 2009
  • Firstpage
    394
  • Lastpage
    398
  • Abstract
    Defending computer virus attacks needs to consume a large amount of various types of resources. In order to achieve the minimum input of resources and the optimized allocation, administrators need to determine and compare the anti-virus ability of various nodes in the network environment. In addition, determining the anti-virus ability of the network nodes also has very important significance for virus researches on many aspects including the propagation methods, the virus immunization, the source-finding of the virus, and blocking the spread of the virus. With the use of the analytic hierarchy process (AHP), an analytic hierarchy model for the network nodes was set up. To determine the weight of each indicator, the contrast matrixes of the indicators were given, corresponding eigenvectors were calculated and the consistency was verified. The final completion of the anti-virus ability of nodes was calculated and compared.
  • Keywords
    computer viruses; decision making; eigenvalues and eigenfunctions; AHP; analytic hierarchy process; antivirus ability; computer virus attack; eigenvector; Computer industry; Computer science; Computer viruses; Immune system; Information security; Mathematics; Operating systems; Pressing; Psychology; Resource management; Analytic hierarchy process; Anti-virus ability; Computer virus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering, 2009. CSE '09. International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-5334-4
  • Electronic_ISBN
    978-0-7695-3823-5
  • Type

    conf

  • DOI
    10.1109/CSE.2009.334
  • Filename
    5283297