摘要： 在分布式网络中，同一节点在不同场景、不同领域中的交互经验有所不同，现有信任模型不能很好地解决因个体经验而引起的信任评价差异。该文通过引入经验因子和相对经验因子，考虑反馈可信度的个体经验差异，提出一种基于个体经验的信任评价模型，并进行了算法分析。分析表明，新模型在反馈可信度的算法等方面有较大的改进。

关键词: 信任模型, 经验因子, 相对经验因子, 反馈可信度

Abstract: In distributed networks, current peer-to-peer trust model can not solve the problem that the peer has different trust evaluation results because of different interface experiences in different situations. This paper proposes a trust evaluation model based on individual experience through introducing experience factor and comparative experiential factor and analyzes its efficiency. The simulation results show that the model has more improvements on the algorithm of feedback trust value.

Key words: trust model, experience factor, comparative experiential factor, feedback trust value

中图分类号: 

• TP312