Research on dynamic trust model based on recommendation trust iteration Online publication date: Fri, 22-Apr-2016
by Fengyin Li; Shuang Zhao; Jian Zhou
International Journal of Computing Science and Mathematics (IJCSM), Vol. 7, No. 1, 2016
Abstract: For the difficulty to accurately calculate the recommendation trust value of nodes in current P2P trust management models, it is hard to recognise the malicious recommendations of some nodes. By introducing the concept of historical successful transaction rate and the concept of the best recommendation chain into trust calculation process, a dynamic trust management model based on recommendation trust iterations is proposed in this paper. In the new trust model, the recommendation trust value of nodes can be more accurately calculated. Therefore the trust management model could describe the dynamic trusts of nodes, and it could help users to make decisions to select the transaction nodes, against malicious nodes and malicious recommendations. Simulation results show that the novel trust model has better dynamic adaptability and higher security compared with the current models.
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