MMLT: A mutual multilevel trust framework based on trusted third parties in multicloud environments. (14th February 2020)

• Record Type: Journal Article
• Authors: Aghaee Ghazvini, Golnaz; Mohsenzadeh, Mehran; Nasiri, Ramin; Masoud Rahmani, Amir
• Is Part Of: Software, practice & experience. Volume 50:Number 7(2020)
• Page Start: 1203
• Page End: 1227
• Publication Date: 2020-02-14
• Subjects: fuzzy logic -- multicloud environment -- mutual trust management -- ranking trusted services; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2798
• Languages: English
• ISSNs: 0038-0644

Abstract

Summary: 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.