【摘要】 提出一种新的面向P2P网络应用的信任管理模型,该模型根据节点的历史交易情况和系统中其他节点的推荐计算节点的信任度,给出了普遍适用的、具体量化和更新推荐者可信度的数学表达形式,同时考虑到节点的自主性动态行为影响信任度计算的不确定性,引入风险因素,提出了采用信息熵理论来量化风险,将实体之间的信任程度和信任的不确定性统一起来。仿真实验及分析表明,该信任模型能够有效识别恶意节点,相比已有的一些信任模型在系统成功交易率、模型的安全性等问题上有较大改进,可以使节点之间更有效的建立信任关系。更多还原

【Abstract】 A novel trust model for P2P networks was proposed,in which the trust value of a given peer was computed using its local trust information and recommendation from other nodes. A generic method for quantifying and updating the credibility of a recommender was also put forward. With regard to risk element,the risk was quantified by informa-tion entropy and so trust degree and uncertainty degree was presented in uniform form. Subsequent experimental results show that,compared to some trust models,the proposed model is more robust on trust security problems and more ad-vanced in successful transaction rate. So the trust model can perform much better especially in helping peers establish trust relationships in open P2P networks.更多还原