基于证据理论的云计算信任模型研究

摘要

信任模型是研究云计算中信任机制的重要问题,其研究结果可应用于云计算数据安全、服务安全,平台安全等研究.为了解决信任的量化和不确定问题,利用证据理论对信任及信任行为进行建模,并认为信任由直接的服务行为结果和间接的第三方推荐组成.提出信任的传递和聚合方式,并将建立的信任模型通过传递方式和聚合方式进行实验；结果显示该信任模型在聚合和信任行为结果纪录情况下,有利于抑制信任的不确定.%Trust model is an important issue in trust mechanism research in cloud computing. The researching achievements can be applied to researches on cloud computing' s data security, service security, platform security and so on. In order to solve the quantization and uncertainty problems about trust, this paper uses evidential theory to model trust and trust behaviors and assumes that trust consists of direct service behavior results and indirect third party recommendations. Here it proposes trust transition and aggregation methods, which are tested upon an established trust model via transition and aggregation methods. Test results reveal that the trust model, under the condition of aggregation method used and trust behavior results recorded, helps inhibit trust uncertainty.