• DocumentCode
    2284612
  • Title

    Research on computer network security based on pattern recognition

  • Author

    Zhou, Lianying ; Liu, Feogyu

  • Author_Institution
    Dept. of Telecommun. Eng., Jiangsu Univ., Zhenjiang, China
  • Volume
    2
  • fYear
    2003
  • fDate
    5-8 Oct. 2003
  • Firstpage
    1278
  • Abstract
    The major reason for unsatisfied security is that the current network techniques are mainly based on the trade-off among security, convenience and performance. Namely it is impossible to reach the perfection. The latest advances on modern biology immune evolution theory reveal that the key of consummate nature immune mechanism is pathogens recognition based pattern. The basic benefit of pattern recognition to immune system is: what is called ´pattern´ is just ´sort´, The comparison and recognition based on a sort is certainly more efficient and less wasting than that based on the members of a sort. As all known, the computer network security system is very similar in functionality to the nature immune system. This article tries to apply the pattern recognition mechanism to the computer network security. the applications of multivariate statistical analysis and genetic algorithm in the implement algorithm of security system are mainly discussed in the article.
  • Keywords
    computer networks; genetic algorithms; pattern recognition; statistical analysis; telecommunication security; computer network security system; consummate nature immune mechanism; genetic algorithm; implement algorithm; modern biology immune evolution theory; multivariate statistical analysis; nature immune system; pathogens recognition; pattern recognition mechanism; Application software; Computer networks; Computer security; Evolution (biology); Genetics; Immune system; Pathogens; Pattern recognition; Statistical analysis; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2003. IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7952-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2003.1244587
  • Filename
    1244587