{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T19:48:48Z","timestamp":1780084128091,"version":"3.54.0"},"reference-count":42,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T00:00:00Z","timestamp":1706486400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Computer Security"],"published-print":{"date-parts":[[2024,8,26]]},"abstract":"<jats:p>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\u2019s 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.<\/jats:p>","DOI":"10.3233\/jcs-220097","type":"journal-article","created":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T12:01:08Z","timestamp":1706616068000},"page":"319-348","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["E-Tenon: An efficient privacy-preserving secure open data sharing scheme for EHR system"],"prefix":"10.1177","volume":"32","author":[{"given":"Prosanta","family":"Gope","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Sheffield, S10 2TN Sheffield, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhihui","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Sheffield, S10 2TN Sheffield, 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