基于感知风险的P2P电子商务系统信任模型

Junfeng Tian, Qian Liu
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引用次数: 1

摘要

为了解决电子商务系统的安全问题,本文提出了一种基于预期感知风险的信任模型APR。在APR中引入感知风险的概念,采用多种信任因子计算节点间的信任值,并提出了一种整合直接信任和推荐信任的生成方法。与其他信任模型相比,APR保证了信任模型的估值准确性,增强了节点的抗风险能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
APR: A Trust Model Based on Perceived Risk for P2P E-commerce System
To solve security problems of E-commerce system, this paper proposed a new trust model APR which is based on anticipative perceived risk. The concept of perceived risk was introduced into APR, many kinds of trust factor were taken to calculate the trust value among nodes, and an origination method was provided to integrate direct trust and recommendation trust. Comparing with other trust models, APR guaranteed the valuation accuracy of trust model and sharpened the anti-risk ability of nodes.
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