Sheng Cao
Cloud-assisted secure eHealth systems for tamper-proofing EHR via blockchain
Cao, Sheng; Zhang, Gexiang; Liu, Pengfei; Zhang, Xiaosong; Neri, Ferrante
Authors
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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