• DocumentCode
    2329298
  • Title

    Trust Based Malicious Nodes Detection in MANET

  • Author

    Gong, Wei ; You, Zhiyang ; Chen, Danning ; Zhao, Xibin ; Gu, Ming ; Lam, Kwok-Yan

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Node misbehavior due to selfish or malicious intention could significantly degrade the performance of MANET because most existing routing protocols in MANET are aiming at finding most efficiency path. To deal with misbehavior in MANET, an incentive mechanism should be integrated into routing decision-making. In this paper firstly we review existing techniques for secure routing, and then propose to use trust vector model based routing protocols. Each node would evaluate its own trust vector parameters about neighbors through monitoring neighbors\´ pattern of traffic in network. At the same time, trust dynamics is included in term of robustness. Then we evaluate the performance of the proposed mechanism by modifying Dynamic Source Routing (DSR) so that each node has a dynamic changing "trust vector" for its neighbors\´ behaviors. We also compare the simulation results of with and without the proposed mechanism. The simulation results demonstrate that the proposed mechanisms can effectively detect malicious nodes and mitigate black hole attacks.
  • Keywords
    ad hoc networks; routing protocols; telecommunication network routing; telecommunication traffic; MANET; black hole attacks; dynamic source routing; network traffic; routing protocols; trust based malicious nodes detection; trust vector model; Ad hoc networks; Availability; Communication system security; Computer science; Information security; Mobile ad hoc networks; Protection; Public key; Robustness; Routing protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and Information System Security, 2009. EBISS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2909-7
  • Electronic_ISBN
    978-1-4244-2910-3
  • Type

    conf

  • DOI
    10.1109/EBISS.2009.5138139
  • Filename
    5138139