Abstract: A novel quantization model of adaptive dynamic trust relationship is proposed, in which the direct trust computing method based on history function and the feedback trust converging model based on path function are set up. Then, two new parameters, confidence factor and feedback factor, are introduced to establish and adjust the weight of direct trust and feedback trust automatically. Simulation experimental results show that, compared with the existed relevant models, this model can improve the accuracy of trust decision effectively.

Key words: distributed processing system, information security, dynamic trust model

摘要： 提出一个新的自适应动态信任关系量化模型。该模型在建立基于历史函数的直接信任计算方法和基于路径函数的反馈信任聚合模型的基础上，引入自信因子和反馈因子来自动建立和动态调节直接信任与反馈信任的权重。仿真实验结果表明，与现有模型相比，该模型能够有效提高可信决策的准确性。

关键词: 分布式处理系统, 信息安全, 动态信任模型

CLC Number: 

• TP311