摘要
分布式信任模型已经得到的广泛研究。针对以往信任模型对服务评价可信度和节点行为相似度刻画缺失所导致的模型不可靠这一问题,提出一种基于信任可信度与行为相似度的分布式信任模型TM-ERBS。首先使用评价可信度和节点行为相似度更为准确地计算直接信任与推荐信任,进而计算节点综合信任;之后以综合信任为基础,使用概率决策方法选择受信服务节点。实验表明TM-ERBS模型在减少网络开销和对服务节点的选择上较优于对照模型。
Distributed trust model has been extensively studied. In view of the problem that the previous trust model has not been reliable caused by lack of credibility of service evaluation and similarity of node behaviors. Proposes a distributed trust model based on evaluation reliability and behavioral similarity（TM-ERBS）. First, calculates the direct trust and the recommended trust more accurately by using the evaluation reliability and the behavioral similarity of the nodes, and then calculates the comprehensive trust. Then, based on the comprehensive trust,the probability decision method is used to select the service node. Experiments show that the TM-ERBS model is superior to the control model in reducing network overhead and selecting service nodes.
作者
高博
GAO Bo(School of Economics and Management, Shanghai Maritime University, Shanghai 201306)
关键词
可信度
相似度
信任模型
Evaluation Reliability
Behavioral Similarity
Trust Model
