基于DS理论的多源证据融合云安全信任模型

云计算技术在带来信息更大范围共享、成本更低等便捷的同时,也面临着隐私泄露、信息丢失等新的安全问题。如何在海量分布式的云系统中识别和管理节点的可信度成为云安全问题研究的重要方向之一。本模型考虑云计算分布式体系架构,结合DS证据理论和信任机制,构建云环境下基于DS理论的信任模型,为云安全问题提供了新思路。该模型在主客观信任值的基础上合成综合信任值,进行可信度判断；并讨论模型中的关键问题,包括信任值初始化和更新、恶意节点惩罚、负载均衡；再通过仿真实验从有效性、均衡性和鲁棒性等方面对模型进行验证；最后进行总结并对下一步研究进行展望。

Dynamic Trust Model Based on DS Evidence Theory under Cloud Computing Environment

Cloud computing technology faces the new security problems of privacy disclosure and information lost.How to identify and manage the trust degree of nodes in cloud system becomes a important research area of cloud security.Then the trust model can provide a new idea to solve it.Considering that the architecture of cloud computing is a distributed system,combining with the DS evidence theory and trust mechanism,a dynamic trust model based on DS theory was built under the cloud environment.In the model, subjective and objective trust values are merged into a integrated trust-value to describe the safety and credibility of the cloud nodes.The problems of trust value initialization and updating,malicious nodes punishment and load balancing were discussed.Simulation experiment proves the effectiveness,balance and robustness of the model.Finally,the summary and the prospects for future research were put forward.