摘要： 基于推荐信任机制，引入正态概率密度函数的概念，对信任度进行描述。提出一种对信任度进行概率分析的评估方法，可动态地适应用户的安全需求，减弱在多路径推荐中由于恶意实体推荐所带来的负面影响，提高信任计算结果的稳定性。分析和模拟试验表明该模型的必要性和有效性，可以更好地解决P2P网络带来的安全问题。

关键词: 信任模型, 推荐信任, 对等网络

Abstract: This paper introduces the normal probability density function to describe the trustworthiness, and presents a trust evaluating model for quantifying the trustworthiness of peers based on recommendations, which can dynamically adjust its security level according to user’s request. The model is more logical to the social network than before. It introduces a probability method to relieve the influence of multi-path propagation of trust and improves the stability of the result. Analysis and simulation show that the new trust model is necessary and effective. The architecture possesses several desirable properties that are increasingly suitable for security requirements in the P2P networks.

Key words: trust model, recommendation trust, P2P network

中图分类号: 

• TP309