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针对目前的信任模型在计算信任度的时间复杂度和抗攻击能力方面上都存在的一些问题,提出了一种新的在P2P电子商务系统中基于声誉的信任模型(RTM)。该模型较全面地引入影响信任度的信任因素并改进了局部声誉与全局声誉的计算方法,不仅能比较准确地反映出节点的信任度,而且还降低了计算的时间复杂度。实验结果表明,该模型相比已有的一些信任模型能较大程度地提高系统交易成功率,并能有效地应用于P2P电子商务系统中。
Aiming at some problems existing in current trust model in terms of time complexity and anti-attack ability of trust, a new reputation-based trust model (RTM) in P2P e-commerce system is proposed. This model comprehensively introduces the factors of trust that affect trust and improves the calculation method of local reputation and global reputation. It not only reflects the trust degree of nodes more accurately, but also reduces the computational time complexity. The experimental results show that this model can greatly improve the success rate of system transactions compared with the existing trust models and can be effectively applied in P2P e-commerce system.