P2P电子商务中信任模型研究

为了提高P2P电子交易的安全性,提出了基于模糊理论的信任管理模型.通过类群来初始化信任向量及信任评估,提高了评估效率.通过模糊综合评判方法,较为全面地考察了影响信任的多种因素,使得评估结果更加客观、真实.基于模糊贴近度的概念来实现信任更新,并在推荐因子的更新中融入交易金额和交易时间,客观地反映了信任的动态性和交易的上下文特性.实验仿真及分析表明,与传统方法相比,本方法可以有效地提高评估的可靠性及可用性.

Research on Trust Model for P2P Electronic Commerce

To improve the security of P2P E-commerce,the fuzzy theory has been used to model the issues of trust management.Using groups of trust to initialize trust vectors and trust evaluation,the efficiency of trust evaluation is raised.Based on fuzzy and general evaluation algorithm,the different effect factors of trust are considered and evaluated.The result of evaluation is very objective and factual.A new algorithm of trust renewal is provided by using concept of fuzzy approach degree.The transaction amount and the interactive time are considered when update recommendation factors.The dynamic nature of trust and the context of transaction has been reflected objectively.Results of simulation and analysis showed that comparing with traditional methods,the proposed method of this paper can effectively improve the reliability and availability of trust evaluation.