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In today's data-driven world, the exponential growth of digital information poses significant challenges in data management. In recent years, the adoption of cloud-based Electronic Health Records (EHR) sharing schemes has yielded numerous advantages like improved accessibility, availability, and enhanced interoperability. However, the centralized nature of cloud storage presents challenges in terms of information storage, privacy protection, and security. Despite several approaches that have been presented to ensure secure deduplication of similar EHRs, the validation of data integrity without a third-party auditor (TPA) remains a persistent task. Because involving a TPA raises concerns about the confidentiality and privacy of crucial healthcare information. To tackle this challenge, a novel cloud storage auditing technique is proposed that incorporates cross-patient block-level deduplication while upholding strong privacy protection, ensuring that EHR is not compromised. Here, we introduced blockchain technology to achieve integrity verification, thus eliminating the need for a TPA by providing a decentralized and transparent mechanism. Additionally, an index for all EHRs has been generated to facilitate block-level duplicate checks and employ a novel strategy to prevent adversaries from acquiring original information saved in the cloud storage. The security of the proposed approach is established against factorization attacks and decrypt exponent attacks. The performance evaluation demonstrates the superior efficiency of the proposed scheme in terms of file authenticator generation, challenge creation, and proof verification to other existing client-side deduplication approaches.

Titel:	Secure Cloud-Based Electronic Health Records: Cross-Patient Block-Level Deduplication with Blockchain Auditing.
Autor/in / Beteiligte Person:	Vivekrabinson, K ; Ragavan, K ; Jothi Thilaga, P ; Bharath Singh, J
Link:	Full Text Finder (Volltext)
Zeitschrift:	Journal of medical systems, Jg. 48 (2024-03-25), Heft 1, S. 33
Veröffentlichung:	1999- : New York, NY : Kluwer Academic/Plenum Publishers ; <i>Original Publication</i>: New York, Plenum Press., 2024
Medientyp:	academicJournal
ISSN:	1573-689X (electronic)
DOI:	10.1007/s10916-024-02053-3
Schlagwort:	Humans Cloud Computing Computer Security Privacy Electronic Health Records Blockchain
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article Language: English [J Med Syst] 2024 Mar 25; Vol. 48 (1), pp. 33. <i>Date of Electronic Publication: </i>2024 Mar 25. MeSH Terms: Electronic Health Records* ; Blockchain* ; Humans ; Cloud Computing ; Computer Security ; Privacy References: Karhade, A.; Schwab, J.; Del, G.; Kawamoto, K. SMART on FHIR in spineto: integrating clinical prediction models into electronic health records for precision medicine at the point of care. The Spine J. 2021, 21, 1649-1651. (PMID: 10.1016/j.spinee.2020.06.01432599144) ; Hossain, A.; Quaresma, R.; Rahman, H. Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study. Inter. J. of Info. Mgmt. 2019, 44, 76-87. (PMID: 10.1016/j.ijinfomgt.2018.09.016) ; Cao, S.; Zhang, G.; Liu, P.; Zhang, X.; Neri, F. Cloud-assisted secure eHealth systems for tamper-proofing EHR via blockchain. 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Secure Cloud-Based Electronic Health Records: Cross-Patient Block-Level Deduplication with Blockchain Auditing.