• DocumentCode
    2977313
  • Title

    Mitigating Blackhole Attacks in Delay Tolerant Networks

  • Author

    Al Hinai, Aysha ; Haibo Zhang ; Yawen Chen

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Otago, Dunedin, New Zealand
  • fYear
    2012
  • fDate
    14-16 Dec. 2012
  • Firstpage
    329
  • Lastpage
    334
  • Abstract
    Unlike the conventional routing techniques in the Internet where routing privileges are given to trustworthy and fully authenticated nodes, Delay Tolerant Networks (DTNs) allow any node to participate in routing due to the lack of consistent infrastructure and central administration. This creates new security challenges as even authorized nodes in DTNs could inject several malicious threats against the network. This paper investigates novel solutions based on the Spray-and-Wait (SnW) routing protocol for mitigating black hole attacks in DTNs. A new knowledge-based routing scheme, called Trust-Based Spray- and-Wait protocol (TB-SnW), is proposed. The routing decisions in TB-SnW protocol are made based on the trust levels that are computed at each node using its historic routing records. Simulation results show that the TB-SnW protocol can achieve better performance in terms of mitigating Byzantine attacks and reducing message delivery delay compared with the Spray-and-Wait protocol.
  • Keywords
    Internet; computer network security; delay tolerant networks; routing protocols; Byzantine attack mitigation; DTN; Internet; TB-SnW protocol; authenticated node; blackhole attack mitigation; delay tolerant network; knowledge-based routing scheme; message delivery delay reduction; trust-based spray-and-wait protocol; Delays; Internet; Routing; Routing protocols; Security; Simulation; Byzantine Attacks; DTN; Routing; Trust Measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2012 13th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-4879-1
  • Type

    conf

  • DOI
    10.1109/PDCAT.2012.95
  • Filename
    6589301