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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM57603
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Cloud computing has transformed medical data storage by allowing healthcare institutions to outsource data management to external service providers. While this shift offers enhanced scalability and reduced infrastructure costs, it also introduces significant security and privacy concerns due to the storage of sensitive patient information on untrusted third-party servers.Traditional cryptographic techniques, such as searchable encryption, provide partial solutions but suffer from notable limitations, including vulnerability to leakage-based attacks, high computational overhead, and poor scalability in large-scale environments. To address these challenges, we propose EBMD, a novel outsourcing protocol that integrates an ordered additive secret sharing algorithm with a unique index permutation technique.ECMD ensures efficient and secure outsourcing of medical data while concealing both the data content and access patterns from potential adversaries. Our experimental evaluation demonstrates ECMD superior performance and scalability, with a single storage.
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Publication Date
3/13/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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