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Collaborative and secure sharing of healthcare data in multi-clouds
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“Currently, there are some methods [30], [48] that have adopted advanced cryptographic primitives (e.g., attribute-based encryption) to enforce strict and flexible access control for medical data access.”
From A review of secure and privacy-preserving medical data sharing (2019) · cites this paper as [30]
In the citing paper
“The state-of-the-art schemes [30], [47]- [52], [55], [57] in medical data areas rely more or less on the adoption of certain cryptographic primitives to implement authentication, access control, key management, and privacy protection for medical information.”
From A review of secure and privacy-preserving medical data sharing (2019) · cites this paper as [30]
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Metadata
- Authors
- Fabian, B., Ermakova, T., & Junghanns, P.
- Affiliations
- Humboldt-Universität zu Berlin (DE)
- Technische Universität Berlin (DE)
- Corresponding author
- Fabian, Benjamin
- Venue
- Information Systems
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 48
- Pages
- 132-150
- ISSN
- 0306-4379 (ISSN-L)
- OpenAlex
- W2005358011
- Cited by
- 223
- References
- 68
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 13 · 2023: 15 · 2022: 16 · 2021: 17 · 2020: 31 · 2019: 26 · 2018: 26 · 2017: 23 · 2016: 20 · 2015: 21
- FWCI
- 55.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Physical Sciences › Computer Science › Computer Networks and Communications › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Keywords
- health data sharing, multi-cloud, inter-organizational collaboration, patient data privacy, attribute-based encryption, cloud security
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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