• DocumentCode
    1633238
  • Title

    Application research in computer network security evaluation based on genetic algorithm

  • Author

    Liu, Shaokun ; Fang, Yi

  • Author_Institution
    Dept. of Comput. Technol., Hebei Coll. of Ind. & Technol., Shijiazhuang, China
  • Volume
    2
  • fYear
    2012
  • Firstpage
    468
  • Lastpage
    470
  • Abstract
    Network security is a complex systematic project. The existing safety assessment methods have some shortcomings such as feasibility, smaller application scope, man-made interference and so on. The simulation results show that, using the established evaluation model for network security evaluation is simple, eliminate the interference of human factors, and can quickly get the correct results of the evaluation. This article provides new ideas and methods to work for a comprehensive evaluation of computer network security situation, especially with a certain reference value to predict and control of network security issues in the future.
  • Keywords
    computer network performance evaluation; computer network security; genetic algorithms; computer network security evaluation; genetic algorithm; network security issues; safety assessment methods; Biological cells; Computational modeling; Genetic algorithms; Safety; Security; Sociology; Statistics; Computer Network; Genetic Algorithm; Security Evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4673-2465-6
  • Type

    conf

  • DOI
    10.1109/MSNA.2012.6324623
  • Filename
    6324623