Secure Electronic Health Record System Based on Online/Offline KP-ABE in the Cloud
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Even if pseudonymisation is applied, it is possible to re-identify individuals by combining different data sets.
“Even if pseudonymisation technique is applied, it is possible to re-identify individuals by combining different data sets [153].”
From Secondary Use of Electronic Health Record: Opportunities and Challenges (2020) · cites this paper as [153]
Cited by
Sorted by citations
Secondary Use of Electronic Health Record: Opportunities and Challenges
Shah, S. M., & Khan, R. A. (2020) · IEEE Access · doi:10.1109/access.2020.3011099 · Cited by 158 · see citing works
“Even though, researchers have introduced a few very advanced encryption methods such as Attribute Based Encryption (ABE) [118], Key Policy Attribute Based Encryption (KP-ABE) [119] and Cipher text policy Attribute Based Encryption (CP-ABE) [120] but these are not of much help because the data hosted on clouds is not o…”
BackgroundComparison of attribute-based encryption schemes in securing healthcare systems
Walid, R., Joshi, K. P., & Choi, S. G. (2024) · Scientific Reports · doi:10.1038/s41598-024-57692-w · Cited by 23 · see citing works
- Authors
- Liu, K.
- Affiliations
- Guangzhou University (CN)
- Corresponding author
- Liu, Kun
- ORCID
- Liu, Kun
- Venue
- Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security
- Published
- 2017
- Pages
- 110-116
- OpenAlex
- W2620941614
- Cited by
- 3
- References
- 0
- Citations by year
- 2024: 1 · 2022: 1 · 2020: 1
- FWCI
- 0.12
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Internet of Things, Big Data and Security (IoTBDS) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Keywords
- electronic health records, key-policy attribute-based encryption, cloud security, data privacy, access control
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 ›
Are you an author, or do you see a problem with this page? Request a review
