• DocumentCode
    3349065
  • Title

    Review on the application of artificial intelligence in antivirus detection systemi

  • Author

    Wang, Xiao-bin ; Yang, Guang-yuan ; Li, Yi-chao ; Liu, Dan

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • fYear
    2008
  • fDate
    21-24 Sept. 2008
  • Firstpage
    506
  • Lastpage
    509
  • Abstract
    Artificial intelligence (AI) techniques have played increasingly important role in antivirus detection. At present, some principal artificial intelligence techniques applied in antivirus detection are proposed, including heuristic technique, data mining, agent technique, artificial immune, and artificial neural network. It believes that it will improve the performance of antivirus detection systems, and promote the production of new artificial intelligence algorithm and the application in antivirus detection to integrate antivirus detection with artificial intelligence. This paper introduces the main artificial intelligence technologies, which have been applied in antivirus system. Meanwhile, it also points out a fact that combining all kinds of artificial intelligence technologies will become the main development trend in the field of antivirus.
  • Keywords
    data mining; neural nets; security of data; agent technique; antivirus detection system; artificial immune; artificial intelligence; artificial neural network; data mining; heuristic technique; Application software; Artificial intelligence; Artificial neural networks; Biology computing; Computer science; Data mining; Humans; Immune system; Machine intelligence; Space technology; Anti-virus; Artificial intelligence; Data mining; Heuristic; Neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2008 IEEE Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-1673-8
  • Electronic_ISBN
    978-1-4244-1674-5
  • Type

    conf

  • DOI
    10.1109/ICCIS.2008.4670733
  • Filename
    4670733