由于P2P网络的开放性、匿名性等特点,节点间的信任关系很难通过传统的信任机制来建立,为了解决该问题,对已有研究进行了详细分析,并提出了一种基于评价相似度的P2P网络信任模型。该模型引入了时间衰减函数和事务影响因子,提高了信任度计算的准确性,引入了评价相似度的概念,用于量化和评价推荐的可信程度。分析及仿真实验结果表明,该模型可以有效地识别恶意节点,提高P2P网络的服务质量。
The feature of P2P network such as anonymity and open nature makes that it's hard to establish the trust relationship between peers with the traditional trust mechanism.To solve this problem,the existing researches are analyzed in detail and a trust model based on the similarity of evaluation in P2P networks is proposed.In this model,time-decay factor and transaction factor are considered to enhanced the veracity of the computing of the trust degree.Meanwhile,the similarity of evaluation is proposed to quantify and to evaluate recommendations.Theoretical analyses and simulation experiments show that the proposed model can distinguish malicious peers and can improve the quality of service in P2P networks efficiently.