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Cited by 107Blockchain Technology Applications and SecurityCryptography and Data SecurityBlockchain Technology in Education and Learning

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Medical Data Management on Blockchain with Privacy

Tian, Haibo, He, Jiejie, Ding, Yong·2019·Journal of Medical Systems
DOI 10.1007/s10916-018-1144-x
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Abstract

Medical data are important in diagnosis, treatment, recovery, and medical accident investigation. The integrity and availability of medical data are the basic guarantee for the smooth operation of these activities. The privacy of medical data is a natural demand from the sensitivity of medical data. At present, there are mainly two ways to protect the privacy of medical data. One way is to store medical data in a local database and set up an access control strategy of the database. The other way is to encrypt medical data with the patient's key and to share the key when needed. The problem with the first method is that the data in the local database may be modified or deleted. The problem with the second method is that the key cannot be shared when the patient dies during the diagnosis and treatment. These two problems will damage the availability of data. This paper proposes to establish a shared key that could be reconstructed by the legitimate parties before the process of diagnosis and treatment begins. The data in the diagnosis and treatment process is encrypted and stored in a blockchain using the shared key. The proposal meets the integrity, availability and privacy requirements of medical data. It uses the sibling intractable function families (SIFF) to establish a shared key, and uses the Hyperledger Fabric to store encrypted data. The simulation shows that the system has good efficiency. Additionally, it is the first time to introduce SIFF to a blockchain application.

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Crossref · 10.1007/s10916-018-1144-x

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Research works printed but not linked: 1

  1. Xia, Q., Sifah, E. B., Asamoah, K. O., Gao, J., Du, X., and Guizani, M., MeDShare: trustless medical data sharing among cloud service providers via blockchain. IEEE Access PP(99):1–1, 2017.

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Metadata

Authors
Tian, H., He, J., & Ding, Y.
Affiliations
  • Sun Yat-sen University (CN)
  • Guilin University of Electronic Technology (CN)
Corresponding author
Tian, Haibo
ORCID
Venue
Journal of Medical Systems
Publisher
Springer Science and Business Media LLC
Published
2019-01-03
Volume
43
Issue
2
Pages
26-26
ISSN
  • 0148-5598 (ISSN-L)
  • 1573-689X
DOI
10.1007/s10916-018-1144-x
OpenAlex
W2908026007
Cited by
107
References
7
Citations by year
2026: 9 · 2025: 7 · 2024: 8 · 2023: 19 · 2022: 18 · 2021: 25 · 2020: 15 · 2019: 6
FWCI
19.91
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Journal of Medical Systems (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Key R&D Program of China (2017YFB0802500)
  • Natural Science Foundation of Guangdong Province (2015A030313133)
  • Guangxi Key Laboratory of Cryptography and Information Security (No.GCIS201711)
  • Fundamental Research Funds for the Central Universities (No.17lgjc45)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Computer Networks and Communications › Cryptography and Data Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
Keywords
medical data privacy, blockchain, data integrity, data availability, Hyperledger Fabric, encrypted data storage, patient data access control, key management
MeSH terms
Confidentiality, Humans, Computer Security, Electronic Health Records, Health Information Exchange

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