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Cloud-assisted secure eHealth systems for tamper-proofing EHR via blockchain

Cao, Sheng; Zhang, Gexiang; Liu, Pengfei; Zhang, Xiaosong; Neri, Ferrante

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Authors

Sheng Cao

Gexiang Zhang

Pengfei Liu

Xiaosong Zhang

Ferrante Neri



Abstract

© 2019 Elsevier Inc. The wide deployment of cloud-assisted electronic health (eHealth) systems has already shown great benefits in managing electronic health records (EHRs) for both medical institutions and patients. However, it also causes critical security concerns. Since once a medical institution generates and outsources the patients’ EHRs to cloud servers, patients would not physically own their EHRs but the medical institution can access the EHRs as needed for diagnosing, it makes the EHRs integrity protection a formidable task, especially in the case that a medical malpractice occurs, where the medical institution may collude with the cloud server to tamper with the outsourced EHRs to hide the medical malpractice. Traditional cryptographic primitives for the purpose of data integrity protection cannot be directly adopted because they cannot ensure the security in the case of collusion between the cloud server and medical institution. In this paper, a secure cloud-assisted eHealth system is proposed to protect outsourced EHRs from illegal modification by using the blockchain technology (blockchain-based currencies, e.g., Ethereum). The key idea is that the EHRs only can be outsourced by authenticated participants and each operation on outsourcing EHRs is integrated into the public blockchain as a transaction. Since the blockchain-based currencies provide a tamper-proofing way to conduct transactions without a central authority, the EHRs cannot be modified after the corresponding transaction is recorded into the blockchain. Therefore, given outsourced EHRs, any participant can check their integrity by checking the corresponding transaction. Security analysis and performance evaluation demonstrate that the proposed system can provide a strong security guarantee with a high efficiency.

Citation

Cao, S., Zhang, G., Liu, P., Zhang, X., & Neri, F. (2019). Cloud-assisted secure eHealth systems for tamper-proofing EHR via blockchain. Information Sciences, 485, 427-440. https://doi.org/10.1016/j.ins.2019.02.038

Journal Article Type Article
Acceptance Date Feb 13, 2019
Online Publication Date Feb 14, 2019
Publication Date Jun 1, 2019
Deposit Date Mar 31, 2020
Publicly Available Date Apr 1, 2020
Journal Information Sciences
Print ISSN 0020-0255
Electronic ISSN 1872-6291
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 485
Pages 427-440
DOI https://doi.org/10.1016/j.ins.2019.02.038
Keywords Control and Systems Engineering; Theoretical Computer Science; Software; Information Systems and Management; Artificial Intelligence; Computer Science Applications
Public URL https://nottingham-repository.worktribe.com/output/3705323
Publisher URL https://www.sciencedirect.com/science/article/pii/S0020025519301471?via%3Dihub

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