Gope, P. orcid.org/0000-0003-2786-0273, Lin, Z., Yang, Y. et al. (1 more author) (2024) E-Tenon: An efficient privacy-preserving secure open data sharing scheme for EHR system. Journal of Computer Security. ISSN 0926-227X
Abstract
The transition from paper-based information to Electronic-Health-Records (EHRs) has driven various advancements in the modern healthcare industry. In many cases, patients need to share their EHR with healthcare professionals. Given the sensitive and security-critical nature of EHRs, it is essential to consider the security and privacy issues of storing and sharing EHR. However, existing security solutions excessively encrypt the whole database, thus requiring the entire database to be decrypted for each access request, which is time-consuming. On the other hand, the use of EHR for medical research (e.g., development of precision medicine and diagnostics techniques) and optimisation of practices in healthcare organisations require the EHR to be analysed. To achieve that, they should be easily accessible without compromising the patient’s privacy. In this paper, we propose an efficient technique called E-Tenon that not only securely keeps all EHR publicly accessible but also provides the desired security features. To the best of our knowledge, this is the first work in which an Open Database is used for protecting EHR. The proposed E-Tenon empowers patients to securely share their EHR under their own multi-level, fine-grained access policies. Analyses show that our system outperforms existing solutions in terms of computational complexity.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 IOS Press. This is an author-produced version of a paper subsequently published in Journal of Computer Security. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Open database; E-Tenon; ABE; multi-level attribute-based encryption; multi-signature |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Feb 2024 11:08 |
Last Modified: | 13 Feb 2024 11:08 |
Status: | Published |
Publisher: | IOS Press |
Refereed: | Yes |
Identification Number: | 10.3233/jcs-220097 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:209125 |