• DocumentCode
    2941661
  • Title

    A Risk Assessment Method Based on Grey Relational Projection in Ad Hoc Networks

  • Author

    Cai, Fu ; Chu, Huang ; Yunhe, Zhang ; LanSheng, Han ; Bing, Peng

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    18-20 Nov. 2009
  • Firstpage
    370
  • Lastpage
    373
  • Abstract
    Because of the special characteristics of the ad hoc networks, such as highly dynamic topology, open access of wireless channels, and the lack of regular network infrastructure, the routing and user data communication are more vulnerable. Therefore the nodes risk assessment is very important. The traditional assessment is subjective and unreliable due to the fact that some nodes reveal little information and quantity of samples is limited in ad hoc networks. This paper proposes a risk assessment method for mobile ad hoc networks based on a combination of grey theory and vector projection, which can deal with the small samples, case of incomplete information, and lack of experience. The risk assessment analysis and assessment example show that the method in this paper is suitable for the true mobile ad hoc network environment.
  • Keywords
    ad hoc networks; computer network security; grey systems; mobile computing; radio networks; grey relational projection; grey theory; incomplete information; mobile ad hoc network; node risk assessment method; vector projection; Ad hoc networks; Communication system security; Data security; Mobile ad hoc networks; Mobile communication; Network topology; Peer to peer computing; Risk analysis; Risk management; Virtual manufacturing; Ad Hoc Networks; Grey Relational Projection; Risk Assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3843-3
  • Electronic_ISBN
    978-1-4244-5068-8
  • Type

    conf

  • DOI
    10.1109/MINES.2009.39
  • Filename
    5371032