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针对当前云服务缺乏有效信任保障机制的问题,提出基于多维属性信任传递的个性化服务评价策略.该策略综合多维属性计算服务实体可信值,利用直接信任和间接信任建立可信空间,实现以直接信任为主,公共信任反馈为辅的个性化服务评价体系.通过研究云服务与云用户之间可信关系的计算、传递、推理方法,设计了基于多维属性信任传递的个性化服务选择算法.经过实验结果表明,该模型与传统可信服务计算相比,虽增加了少量协商步骤,但能够使可信值计算更加准确,可以有效提高云服务-云用户交互的成功率,为云服务可信研究提供一种新思路.
In view of the lack of effective trust guarantee mechanism for current cloud service, a personalized service evaluation strategy based on multi-dimensional attribute trust transfer is proposed. The strategy combines multi-dimensional attributes to calculate the trustworthiness value of service entities, establishes trustworthy space by using direct trust and indirect trust, Direct trust, supplemented by public trust feedback.By researching the calculation, transmission and reasoning methods of trust relationship between cloud service and cloud subscriber, a personalized service selection algorithm based on multi-dimensional attribute trust transfer is designed The experimental results show that the proposed model can increase the accuracy of trusted value calculation and increase the success rate of cloud service - cloud user interaction, although a small number of negotiation steps are added compared with traditional trusted service calculation. Trusted research provides a new idea.