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MMLT: A mutual multilevel trust framework based on trusted third parties in multicloud environments

机译:MMLT:基于Multiculoud环境的可信第三方的相互多级信任框架

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摘要

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.
机译:在本文中,提出了一种相互多级信任框架,其涉及基于一组可信的第三方(TTP)的多罩环境中的云用户(CUS)和云服务提供商(CSP)的角度来管理信任。这些独立代理商由CU和CSP信任,并在不同的云上分发。 TTP根据反馈额定值的准确性评估CUS的可信度,并根据服务质量监测信息评估CSPS的可靠性。它们通过可信释放网络连接自己,这使得TTP能够从其他云获得有关CSP和CU的信任信息。凭借开发有效的信任管理框架,已经提供了一种新方法来提高基于信任的交互,即能够通过模糊逻辑基于CU的优先级对可信云服务(CSS)进行排名。模糊逻辑应用于管理CU的不同优先级,所有CU都没有与可信CSS一起使用相同的优先级。自定义服务排名允许CU根据其优先级申请受信任的CSS。实际数据集的实验良好匹配分析结果,表明我们所提出的方法是有效和优于现有方法。

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