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现存的P2P信任管理模型难以准确计算节点间的信任值,导致节点在交易过程中无法有效防止节点的恶意攻击。为此,文章提出一种基于推荐信任迭代的信任管理模型TMRTI,通过在间接信任度的计算过程中引入最佳推荐链,更好地计算节点间的推荐信任值,在直接信任度的计算过程中引入历史交易成功率,进而综合评估节点的全局信任值,辅助节点进行交易对象的选择,充分体现了信任值的动态性和主观不确定性。仿真实验结果表明,文章的TMRTI模型较以往模型具有更好的动态适应性和更高的安全性。
The existing P2P trust management model can not accurately calculate the trust value between nodes, which makes the node unable to effectively prevent malicious attacks from nodes during the transaction. Therefore, the paper proposes a TMRTI, a trust management model based on recommended trust iteration. By introducing the best recommendation chain in the calculation of indirect trust, we can calculate the recommended trust value between nodes better. In the calculation of direct trust , We introduce the success rate of historical transactions, and then evaluate the global trust value of the node comprehensively, and assist the node to choose the trading object, fully reflecting the dynamic and subjective uncertainty of the trust value. The simulation results show that the TMRTI model has better dynamic adaptability and higher security than the previous models.