• DocumentCode
    3003642
  • Title

    Selfish node detection in Wireless Mesh Networks

  • Author

    Muhaya, Fahad T Bin ; Fazl-e-Hadi ; Naseer, Atif

  • Author_Institution
    Prince Muqrin Dept. for IT Security, King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2010
  • fDate
    11-12 June 2010
  • Firstpage
    284
  • Lastpage
    288
  • Abstract
    Wireless Mesh Networks (WMNs) are multi-hop network in which each node communicates with each other to increase the performance of network. Security is a big challenge in WMNs. The network always faces different types of security attacks by external and internal intruders. Most of the time these intruders are the internal legitimate nodes of the network that behave abnormally and network becomes unsecure. In this paper a novel secure routing approach is proposed that identify the internal intruders in the network using field base routing algorithm. This proposed technique has been extensively studied using OMNet++ network simulator to secure the network from the internal attacks by the legitimate nodes.
  • Keywords
    telecommunication network routing; telecommunication security; wireless mesh networks; OMNet++ network simulator; WMN; external intruder; field base routing algorithm; internal attacks; internal intruder; internal legitimate nodes; multihop network; network security; secure routing approach; security attacks; selfish node detection; wireless mesh networks; Information security; Information technology; Mathematical model; Mesh networks; Monitoring; Robustness; Routing; Spread spectrum communication; Telecommunication traffic; Wireless mesh networks; Security; field base routing; mesh network; selfish node;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Information Technology (ICNIT), 2010 International Conference on
  • Conference_Location
    Manila
  • Print_ISBN
    978-1-4244-7579-7
  • Electronic_ISBN
    978-1-4244-7578-0
  • Type

    conf

  • DOI
    10.1109/ICNIT.2010.5508512
  • Filename
    5508512