Citation

Guan, Qing and Alobaedy, Mustafa Muwafak and Ibrahim, Mohd Nurul Hafiz and Goyal, S. B. (2026) Systematic Review of Privacy-Aware Cloud Framework for Medical Secure E-Governance Data Processing. Journal of Computers, Mechanical and Management, 5 (1). pp. 76-92. ISSN 3009-075X

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Abstract

Cloud computing has greatly increased the effectiveness of e-governance, but there are also significant concerns about data security and privacy. The paper presents an in-depth evaluation of privacy-focused cloud architectures for the secure processing of medical e-governance data, in line with PRISMA. The study examined 72 peer-reviewed articles published after 2013 from IEEE Xplore, the ACM Digital Library, ScienceDirect, and SpringerLink. The study researched technologies, including AI-driven anomaly detection, hybrid cloud architecture, blockchain-enabled access management, and homomorphic encryption. This review organizes the available frameworks and evaluates how well they performed in previous studies. To build greater trust in digital governance systems, future trends point to lightweight encryption, cross-device functionality, and AI-powered security solutions. This in-depth examination of privacy-conscious frameworks identifies weaknesses in the research and offers helpful tips for both researchers and policymakers. The results indicate gaps in existing methodologies, thereby facilitating the development of e-governance infrastructures that are more secure, cost-efficient, and scalable, thereby enabling effective healthcare applications.

Item Type:	Article
Uncontrolled Keywords:	E-Governance, cloud computing
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	02 Apr 2026 02:50
Last Modified:	06 Apr 2026 04:06
URII:	http://shdl.mmu.edu.my/id/eprint/15621

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