Enhancing the reliability of ad-hoc networks through fuzzy trust evaluation
ACS'08 Proceedings of the 8th conference on Applied computer scince
Mitigation of the effects of selfish and malicious nodes in ad-hoc networks
WSEAS Transactions on Computers
Trusted information exchange in peer-to-peer mobile social networks
Concurrency and Computation: Practice & Experience
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Recently several trust and reputation models have been proposed to enhance the security of mobile ad hoc networks. In these models, recommendations are circulated by forwarding explicit messages or introducing extra message headers. Apart from incurring additional overhead, the recommendations are prone to issues such as recommender's bias, honest-elicitation, and free-riding. In this paper, we propose a trust model to enhance the security of mobile ad hoc networks and to address the issues related to recommendations. The model uses only trusted routes for communication, and isolates malicious nodes depending on the evidence collected from direct interactions and recommendations. It deploys a novel approach for communicating recommendations such that they are free from recommender's bias, honestelicitation, and free-riding. Simulation results confirm the effectiveness of our model.