Zero Trust Context-Aware Access Control Framework for IoT Devices in Healthcare Cloud AI Ecosystem
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
<title>Abstract</title> It is essential for modern healthcare systems to utilize the Internet of Things (IoT) devices that facilitate and establish the infrastructure for smart hospitals and telehealth. The advancement in telehealth technology and the increasing penetration of IoT devices make them vulnerable to different types of attacks, which require additional research and development for security tools. This article proposes a zero trust context-aware framework to manage the access of the main components in the cloud ecosystem, the users, IoT devices and output data. The framework also considers regulatory compliance and maintains the chain of trust by proposing a critical and bond trust scoring assessment that is based on a set of features and cloud-native micro-services, including authentication, encryption, logging, authorizations and machine learning like the word2vec model within Cloud AI ecosystem.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.008 | 0.008 |
| Research integrity | 0.001 | 0.005 |
| 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