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An Efficient Trust-Based Routing Scheme Against Malicious Communication in MANET

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Abstract

The ideal routing operation in a Mobile Ad Hoc NETwork (MANET) is fundamentally dependent on the supportive node cooperation because the existence of even a single misbehaving node can cause the problem of routing disruption. This paper proposes an Efficient Trust-based Routing Scheme (ETRS) to mitigate the misbehaving nodes thereby achieving secure communication in MANET. The proposed scheme addresses the wide security concerns including the detection and prevention of malicious nodes, the reliable sharing of trust information, and the trusted route maintenance at one place. The scheme is developed and implemented in the framework of an underlying dynamic routing protocol Ad hoc On-demand Distance Vector (AODV). Its potential is validated through a comparative performance analysis with the state-of-the-art Evolutionary Self-Cooperative Trust (ESCT) scheme and the standard AODV. The superiority is proved by carrying out extensive simulations based on the measurements of Packet Delivery Ratio (PDR), end to end delay, throughput, jitter, number of data packets dropped, and the Probability of Detection (PoD) of node behavior against the variations in node density, node mobility, and attacker scenarios. The proposed scheme thus provides a gross contribution to the research society which is unlike many works from literature those focused only on selected security concerns causing the routing schemes to achieve a trade-off in the desired values of performance metrics and claim the efficiency at the expense of other aspects.

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Authors and Affiliations

  1. Department of Computer Engineering & Information Technology, Veermata Jijabai Technological Institute, Mumbai, Maharashtra, India

    Ankita A. Mahamune & M. M. Chandane

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  1. Ankita A. Mahamune
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  2. M. M. Chandane
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Correspondence to Ankita A. Mahamune.

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Mahamune, A.A., Chandane, M.M. An Efficient Trust-Based Routing Scheme Against Malicious Communication in MANET. Int J Wireless Inf Networks 28, 344–361 (2021). https://doi.org/10.1007/s10776-021-00523-w

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  • DOI: https://doi.org/10.1007/s10776-021-00523-w

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