Security and Privacy Enhancement in Mobile-Cloud Computing through Cloud Broker Trust Management using AES Algorithm

Abstract

The mobile-cloud environment has quickly evolved while creating the need for strong frameworks to establish trust and safety to deal with various security and privacy issues in these systems. To overcome these challenges, this study presents a cloud broker trust management system to improve security and privacy in the mobile-cloud systems. The system evaluates cloud service providers in terms of trust metrics of security, performance, and privacy with the help of sophisticated trust evaluation algorithms. The study employed the PRISMA methodology, systematically reviewing literature across popular databases such as Google Scholar, Scopus, ScienceDirect, IEEE Xplore, and Research Gate. A total of 454 studies were identified during database searches, with 60 studies meeting the inclusion criteria for the final review. The data analysis process identified four key themes related to privacy concerns, security challenges, trust metrics in cloud broker systems, and the role of cloud brokers in managing security and privacy. The findings of this study demonstrate that integrating trust metrics and encryption protocols can significantly improve trust management, paving the way for secure and private mobile-cloud ecosystems. Future research directions focus on enhancing trust evaluation and encryption techniques.