• DocumentCode
    3014794
  • Title

    A Research on the Function Relationships in the Modularization Immunity Neural Network Model

  • Author

    Hou, Jiali ; Feng, Nengshan

  • Author_Institution
    Dept of Comput. Coll., Dongguan Univ. of Technol., Dongguan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    11-14 Dec. 2009
  • Firstpage
    177
  • Lastpage
    181
  • Abstract
    The modularization immunity neural network model is an intelligent solution to network security, but the function relationships among the neural network, immune algorithm and genetic algorithm in the model. By following biological mechanism, this paper builds up interaction functions and function systems among all the parts in the model, which leads to the organic combination among the neural network, immune algorithm and genetic algorithm and makes them effectively be used in network security. This provides visiting control, computer virus disposal and computer security environment with theoretical foundation, ensuring the sound operation of network security program .
  • Keywords
    computer network security; computer viruses; genetic algorithms; neural nets; biological mechanism; computer security environment; computer virus disposal; function relationships; genetic algorithm; immune algorithm; modularization immunity neural network model; network security; organic combination; visiting control; Biological system modeling; Biology computing; Computer networks; Computer security; Educational institutions; Genetic algorithms; Immune system; Intelligent networks; Neural networks; Signal design; function relationship; modularization immunity neural network model; network data security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2009. CIS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5411-2
  • Type

    conf

  • DOI
    10.1109/CIS.2009.229
  • Filename
    5376007