SPS: Secure personal health information sharing with patient-centric access control in cloud computing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this paper, we propose a patient-centric personal health information (PHI) sharing and access control scheme, SPS. Proposed SPS encompasses identity based cryptography to ensure security and privacy of PHI by using short digital signature and patient's pseudo-identity. SPS relieves the health service provider's (HSP) additional burden for PHI storage, management, and maintenance by incorporating cloud storage services to electronic Health (eHealth) care system. SPS adopts attribute based encryption and assigns different attributes to PHI access requesters based on their roles and relation to the patient. To ensure authenticated PHI access with minimum computation, SPS introduces multi-parties proxy re-encryption protocol. Light weight partial and block PHI audits make the scheme efficient to ensure stored PHI integrity and availability. Extensive performance and security analyses demonstrate that SPS is able to achieve desired security requirements with acceptable computation and storage costs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it