• DocumentCode
    691599
  • Title

    Research on the Aggregation Model of Network Security Situation Awareness Based on Analytic Hierarchy Process

  • Author

    Jing Li ; Ming Cheng ; Jun Ni ; Feng Qian

  • Author_Institution
    Harbin Normal Univ. of Comput. Sci. & Technol., Harbin, China
  • fYear
    2013
  • fDate
    6-7 Nov. 2013
  • Firstpage
    519
  • Lastpage
    522
  • Abstract
    Along with the development and application of computer network, the network security problem has become an urgent task, and the security problem research also becomes an important topic to the network development. The analytic hierarchy process as a powerful method in system science analyzing was introduced into the research of network security situation awareness. The common model of networks security situational awareness architecture is described, and studies the evaluation method relevantly: from security situation numeric computation, the analytic hierarchy process arithmetic is analysis. When a network includes multiple subnets, the network situation of the total network need to be further aggregated. So a new aggregation model and method was proposed.
  • Keywords
    analytic hierarchy process; computer network security; analytic hierarchy process arithmetic; computer network development; multiple subnets; network security situation awareness aggregation model; networks security situational awareness architecture; security problem research; security situation numeric computation; system science analysis; Analytic hierarchy process; Communication networks; Computational modeling; Computer hacking; Educational institutions; Servers; Combination Forecast; Employment Demand; Genetic Algorithm; Prediction Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4799-2791-3
  • Type

    conf

  • DOI
    10.1109/ISDEA.2013.523
  • Filename
    6843500