The DOI matches its Crossref record; 27 of the 28 references it cites were found in a registry or an index.
Blockchain-Based Data Preservation System for Medical Data
Abstract
Medical care has become an indispensable part of people's lives, with a dramatic increase in the volume of medical data (e.g., diagnosis certificates and medical records). Medical data, however, is easily stolen, tampered with, or even completely deleted. If the above occurs, medical data cannot be recorded or retrieved in a reliable manner, resulting in delay treatment progress, even endanger the patient's life. In this paper, we propose a novel blockchain-based data preservation system (DPS) for medical data. To provide a reliable storage solution to ensure the primitiveness and verifiability of stored data while preserving privacy for users, we leverage the blockchain framework. With the proposed DPS, users can preserve important data in perpetuity, and the originality of the data can be verified if tampering is suspected. In addition, we use prudent data storage strategies and a variety of cryptographic algorithms to guarantee user privacy; e.g., an adversary is unable to read the plain text even if the data are stolen. We implement a prototype of the DPS based on the real world blockchain-based platform Ethereum. Performance evaluation results demonstrate the effectiveness and efficiency of the proposed system.
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In the citing paper
“Data integrity was enhanced by storing hashed medical data or hash pointer on chain [49,41,38].”
From Blockchain in healthcare and health sciences—A scoping review (2020) · cites this paper as [49]
In the citing paper
“Blockchain technology [8] which uses a shared, immutable, and transparent ledger has a great potential to solve the issues of real-time data access, vulnerability, data fragmentation, lack of traceability, security, and privacy which exist in the current client-server architecture.”
From Lightweight blockchain for healthcare (2019) · cites this paper as [8]
Citations
Cites
(2013) · Cited by 5,372
Blockchains and smart contracts for the internet of things
Christidis, K., & Devetsikiotis, M. (2016) · IEEE Access · doi:10.1109/access.2016.2566339 · Cited by 4,552
(2015) · Cited by 3,471
Provable data possession at untrusted stores
Ateniese, G., Burns, R. C., Curtmola, R., Herring, J., Kissner, L., Peterson, Z. N. J., & Song, D. X. (2007) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/1315245.1315318 · Cited by 2,797
Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts
Kosba, A., Miller, A., Shi, E., Wen, Z., & Papamanthou, C. (2016) · 2016 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2016.55 · Cited by 2,227
On the Security and Performance of Proof of Work Blockchains
Gervais, A., Karame, G., Wüst, K., Glykantzis, V., Ritzdorf, H., & Čapkun, S. (2016) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2976749.2978341 · Cited by 1,683
A Survey of Attacks on Ethereum Smart Contracts (SoK)
Atzei, N., Bartoletti, M., & Cimoli, T. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-662-54455-6_8 · Cited by 1,553
SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies
Bonneau, J., Miller, A. E., Clark, J., Narayanan, A., Kroll, J. A., & Felten, E. W. (2015) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2015.14 · Cited by 1,262
The Quest for Scalable Blockchain Fabric: Proof-of-Work vs. BFT Replication
Vukolić, M. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-39028-4_9 · Cited by 1,051
Hashcash - A Denial of Service Counter-Measure
Back, A. (2002) · Cited by 782
Research works printed but not linked: 2
- Bengtsson, S., and Solheim, B., Enforcement of data protection, privacy and security in medical informatics. MEDINFO 92:6–10, 1992.
- Example transaction cost. http://ethdocs.org/en/latest/contracts-and-transactions/account-types-gas-and-transactions.html#example-transaction-cost . Accessed 31 Jan 2017
Cited by
Sorted by citations
Blockchain technology in healthcare: a systematic review
Agbo, C. C., Mahmoud, Q. H., & Eklund, J. M. (2019) · Healthcare · doi:10.3390/healthcare7020056 · Cited by 1,131
Blockchain-based electronic healthcare record system for healthcare 4.0 applications
Tanwar, S., Parekh, K., & Evans, R. D. (2019) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2019.102407 · Cited by 977
Blockchain for industry 4.0: a comprehensive review
Bodkhe, U., Tanwar, S., Parekh, K., Khanpara, P., Tyagi, S., Kumar, N., & Alazab, M. (2020) · IEEE Access · doi:10.1109/access.2020.2988579 · Cited by 766
Blockchain in healthcare and health sciences—A scoping review
Hasselgren, A., Kralevska, K., Gligoroski, D., Pedersen, S. A., & Faxvaag, A. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.104040 · Cited by 676
“Data integrity was enhanced by storing hashed medical data or hash pointer on chain [49,41,38].”
BackgroundMethodBlockchain technology in healthcare: Challenges and opportunities
Attaran, M. (2022) · International Journal of Healthcare Management · doi:10.1080/20479700.2020.1843887 · Cited by 468
Metadata
- Authors
- Li, H., Zhu, L., Shen, M., Gao, F., Tao, X., & Liu, S.
- Affiliations
- Beijing Institute of Technology (CN)
- Guilin University of Electronic Technology (CN)
- Corresponding author
- Shen, Meng
- Venue
- Journal of Medical Systems
- Published
- 2018-06-28
- Volume
- 42
- Issue
- 8
- Pages
- 141-141
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W2810381494
- Cited by
- 347
- References
- 28
- Citations by year
- 2026: 12 · 2025: 30 · 2024: 40 · 2023: 56 · 2022: 69 · 2021: 56 · 2020: 47 · 2019: 34 · 2018: 3
- FWCI
- 56.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Medical Systems (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Guangxi Cooperative Innovation Center of cloud computing and Big Data (No.YD16E14)
- National Science Foundation of China under Grant (61602039)
- CCF-Venustech Open Research Fund
- BIT-UMF research and development fund
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Keywords
- blockchain, medical records, data tamper detection, data integrity verification, data privacy, cryptographic algorithms, Ethereum, data storage strategies, data theft
- MeSH terms
- Algorithms, Humans, Computer Security, Privacy, Electronic Health Records
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