• Secure communication using q-non-dominated sorting genetic algorithm

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    • Keywords


      Trust evaluation; MANET; attacks; routing

    • Abstract


      With the growth in ad hoc devices, mobile ad hoc networks (MANETs) are extensively employed to realize different kinds of real-time applications. However, ad hoc devices suffer from numerous kinds of security attacks such as blackhole, grayhole, wormhole, etc. Therefore, an efficient trust management protocol is preferable. In this paper, a novel gradient boost classifier is proposed. Additionally, the hyper-parameters of gradient boost classifier are tuned using q-non-dominated sorting genetic algorithm-III (qNSGA-III). Optimized link state routing (OLSR) protocol is employed for experimental analysis. A multi-class dataset is collected by implementing the blackhole, grayhole, and wormhole attacks on the OLSR. Comparative analysis reveals that the proposed qNSGA-III-based gradient boost classifier outperforms the competitive attack classificationmodels.

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    • Author Affiliations



      1. Department of Computer Science and Engineering, Punjabi University, Patiala, India
    • Dates

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