In this article, a mutual multilevel trust framework is proposed, which involves managing trust from the perspective of cloud users (CUs) and cloud service providers (CSPs) in a multicloud environment based on a set of trusted third parties (TTPs). These independent agents are trusted by CUs and CSPs and distributed on different clouds. The TTPs evaluate the CUs' trustworthiness based on the accuracy of feedback ratings and assess the CSPs' trustworthiness based on the quality of service monitoring information. They are connected themselves through the trusted release network, which enables a TTP to obtain trust information about CSPs and CUs from other clouds. With the objective of developing an effective trust management framework, a new approach has been provided to improve trust‐based interactions, that is, able to rank the trusted cloud services (CSs) based on CU's priorities via fuzzy logic. Fuzzy logic is applied to manage the different priorities of CUs, all the CUs do not have the same priorities to use trusted CSs. Customizing service ranking allows CUs to apply trusted CSs based on their priorities. Experiments on real datasets well matched the analytical results, indicating that our proposed approach is effective and outperforms the existing approaches.

中文翻译：

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MMLT：多云环境中基于可信第三方的相互多级信任框架

在本文中，提出了一种相互多级信任框架，该框架涉及基于一组可信第三方 (TTP) 在多云环境中从云用户 (CU) 和云服务提供商 (CSP) 的角度管理信任。这些独立的代理受到 CU 和 CSP 的信任并分布在不同的云上。TTP 根据反馈评级的准确性评估 CU 的可信度，并根据服务质量监控信息评估 CSP 的可信度。它们之间通过可信发布网络相互连接，这使得 TTP 能够从其他云获取有关 CSP 和 CU 的信任信息。为了开发有效的信任管理框架，提供了一种改进基于信任的交互的新方法，即，能够通过模糊逻辑根据 CU 的优先级对可信云服务 (CS) 进行排名。使用模糊逻辑来管理CU的不同优先级，所有CU的优先级并不相同以使用可信CS。自定义服务排名允许 CU 根据其优先级应用受信任的 CS。在真实数据集上的实验与分析结果很好地匹配，表明我们提出的方法是有效的并且优于现有方法。