Abstract
One of the major security issues common in any trust and reputation management mechanism is Bad mouthing in which malicious participants victimize nodes with high reputations by giving lower or negative feedbacks in order to undermine them. Opportunistic Networks are more vulnerable to this type of attacks as there is no pre defined path between the source and the destination. Hence it is important to ensure the trustworthiness or reliability of the next-hop nodes as the nodes communicates by forwarding the message to the next hop using opportunistic connectivity due to node proximity. Otherwise there is the risk of malicious nodes interrupting secure transmission, thus affecting the performance of the network. To deal with this issue of Bad mouthing due to the presence of malicious nodes in the network, we have proposed and implemented a Reputation based Trust Management Model using Friendship vector (RTMF). We have compared the performance of our algorithm with an existing Trust management system based on Ontology and it has been observed that RTMF has successfully reduced the negative effect of the presence of malicious nodes and improved the performance of the network.
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Barai, S., Boral, N., Bhaumik, P. (2019). Reducing the Negative Effect of Malicious Nodes in Opportunistic Networks Using Reputation Based Trust Management. In: Abraham, A., Gandhi, N., Pant, M. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2018. Advances in Intelligent Systems and Computing, vol 939. Springer, Cham. https://doi.org/10.1007/978-3-030-16681-6_34
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DOI: https://doi.org/10.1007/978-3-030-16681-6_34
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