• DocumentCode
    2735741
  • Title

    A reputation-based scheme against malicious packet dropping for mobile ad hoc networks

  • Author

    Song Jianhua ; Ma ChuanXiang

  • Author_Institution
    Sch. of Math. & Comput. Sci., Hubei Univ., Wuhan, China
  • Volume
    3
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    113
  • Lastpage
    117
  • Abstract
    A mobile ad hoc network (MANET) operates much depending on node´s willingness to cooperate in the network. A node´s misbehavior can have severe impact in overall network performance. One of the different kinds of misbehavior a node may exhibit is malicious packet dropping. In this paper, we focus on detecting and excluding nodes that misbehave by dropping some or all packets forwarded through them. We propose a reputation-based scheme for efficiently solving the problem. The proposed scheme use both self-observation and second-hand information to establish comprehensive reputation of a node. Nodes with bad comprehensive reputation will be excluded from the network. History reputation is also taken into account to providing indeliberate faults tolerance. Furthermore, we use fuzzy analysis to deal with the imprecision based on the fact that the cause of packet dropping can be heterogeneous and therefore improve the performance without imposing a high computational burden.
  • Keywords
    ad hoc networks; fault tolerance; fuzzy set theory; mobile radio; fault tolerance; fuzzy analysis; history reputation; malicious packet dropping; mobile ad hoc network; network performance; node misbehavior; reputation-based scheme; Ad hoc networks; Computer science; Fault tolerance; High performance computing; History; Mathematics; Mobile ad hoc networks; Monitoring; Performance analysis; Routing; ad hoc networks; packet dropping; reputations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358211
  • Filename
    5358211