Ad Hoc Networks. First International Conference, ADHOCNETS 2009, Niagara Falls, Ontario, Canada, September 22-25, 2009. Revised Selected Papers

Research Article

Power-Aware Intrusion Detection in Mobile Ad Hoc Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-11723-7_15,
        author={Sevil Şen and John Clark and Juan Tapiador},
        title={Power-Aware Intrusion Detection in Mobile Ad Hoc Networks},
        proceedings={Ad Hoc Networks. First International Conference, ADHOCNETS 2009, Niagara Falls, Ontario, Canada, September 22-25, 2009. Revised Selected Papers},
        proceedings_a={ADHOCNETS},
        year={2012},
        month={7},
        keywords={Mobile ad hoc networks intrusion detection power-aware evolutionary computation genetic programming multi-objective optimization},
        doi={10.1007/978-3-642-11723-7_15}
    }
    
  • Sevil Şen
    John Clark
    Juan Tapiador
    Year: 2012
    Power-Aware Intrusion Detection in Mobile Ad Hoc Networks
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-642-11723-7_15
Sevil Şen1,*, John Clark1,*, Juan Tapiador1,*
  • 1: University of York
*Contact email: ssen@cs.york.ac.uk, jac@cs.york.ac.uk, jet@cs.york.ac.uk

Abstract

Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However they are more vulnerable to attacks than wired networks. In addition, conventional intrusion detection systems (IDS) are ineffective and inefficient for highly dynamic and resource-constrained environments. Achieving an effective operational MANET requires tradeoffs to be made between functional and non-functional criteria. In this paper we show how Genetic Programming (GP) together with a Multi-Objective Evolutionary Algorithm (MOEA) can be used to synthesise intrusion detection programs that make optimal tradeoffs between security criteria and the power they consume.