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Research on dynamic trust model based on recommendation trust iteration

机译:基于推荐信任迭代的动态信任模型研究

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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.
机译:由于目前P2P信任管理模型中难以准确计算出节点的推荐信任值,难以识别某些节点的恶意推荐。通过将历史成功交易率的概念和最佳推荐链的概念引入信任计算过程,提出了一种基于推荐信任迭代的动态信任管理模型。在新的信任模型中,可以更准确地计算节点的推荐信任值。因此,信任管理模型可以描述节点的动态信任,并且可以帮助用户针对恶意节点和恶意推荐做出选择事务节点的决策。仿真结果表明,与现有模型相比,新型信任模型具有更好的动态适应性和更高的安全性。

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