随着计算机网络的发展,分布式计算技术得到了广泛的应用,这使得网络节点间的信任问题变得日益突出.参考社会学的人际关系信任模型,基于Dempster—Sharer证据理论和Shapley熵,文中设计出了分布式计算环境下的动态可信度评估模型,这一可信度评估模型清晰地反映了可信度的动态性、连续性和不确定性等特性.该模型通过历史交互信息获得直接可信度,并根据每个节点的信用记录和其直接可信度函数的信息量对其直接可信度进行修正,然后综合考虑修正后的各个节点的直接可信度信息,利用Dempster规则合成计算出综合可信度.最后利用仿真实验分析了新模型对可信度的评估效果,并对未来的工作做了展望.
With the development of computer networks, distributed computing technology has been far and wide used and it makes that trust evaluation is more and more significant for computing nodes. Referring to the people's trust relationship model of Sociology and considering the dynamic, continuity and uncertainty of trust under the network environment, this paper proposes a dynamic trust evaluation model under distributed computing environment, based on the Demp- ster-Shafer Theory and Shapley entropy. The trust evaluation is partitioned into two stages: di- rect trust evaluation stage and integrative trust evaluation stage. The trust evaluation model uses historical interactive information to compute the direct trust. Shapley entropy evaluates the quantity of information of each node's direct trust function, and then the direct trust is revised in con- sideration of each node's reliability and its quantity of information. Afterwards, they compute the integrative trust derived from the revised direct trust of all nodes according to the Dempster rules. Additionally, the dynamic trust evaluation model is analyzed by simulation experiment and present the plans for future work.