Collaborative Computing: Networking, Applications and Worksharing. 4th International Conference, CollaborateCom 2008, Orlando, FL, USA, November 13-16, 2008, Revised Selected Papers

Research Article

Security through Collaboration in MANETs

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  • @INPROCEEDINGS{10.1007/978-3-642-03354-4_51,
        author={Wenjia Li and James Parker and Anupam Joshi},
        title={Security through Collaboration in MANETs},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 4th International Conference, CollaborateCom 2008, Orlando, FL, USA, November 13-16, 2008, Revised Selected Papers},
        proceedings_a={COLLABORATECOM},
        year={2012},
        month={5},
        keywords={outlier detection mobile ad hoc network misbehavior gossiping},
        doi={10.1007/978-3-642-03354-4_51}
    }
    
  • Wenjia Li
    James Parker
    Anupam Joshi
    Year: 2012
    Security through Collaboration in MANETs
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-642-03354-4_51
Wenjia Li1,*, James Parker1,*, Anupam Joshi1,*
  • 1: University of Maryland, Baltimore County (UMBC)
*Contact email: wenjia1@cs.umbc.edu, jparke2@cs.umbc.edu, joshi@cs.umbc.edu

Abstract

It is well understood that Mobile Ad Hoc Networks (MANETs) are extremely susceptible to a variety of attacks, and traditional security mechanisms do not work well. Many security schemes have been proposed that depend on cooperation amongst the nodes in a MANET for identifying nodes that are exhibiting malicious behavior such as packet dropping, packet modification, and packet misrouting. We argue that in general, this problem can be viewed as an instance of detecting nodes whose behavior is an outlier when compared to others. In this paper, we propose a collaborative outlier detection algorithm for MANETs that factors in a nodes reputation. The algorithm leads to a common outlier view amongst distributed nodes with a limited communication overhead. Simulation results demonstrate that the proposed algorithm is efficient and accurate.