An Efficient Dynamic Key Management Scheme for IoT Devices in Aging in Place Systems
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
According to the 2022 report of the World Health Organization, 22% of the world population will be aged above 60 by the year 2050. To tackle this issue, Aging in Place (AiP) systems, which are a group of technology solutions to fulfill the expectations of older adults by limiting the direct involvement of external individuals without compromising the promised lifestyle, have received considerable attention in recent years. Though AiP systems are promising, they are still facing many challenges, including security challenge. In this paper, to secure the group communications of IoT devices in AiP systems, we propose an efficient dynamic key management scheme, which is characterized by employing binary heap tree, bloom filter, and polynomial based access control techniques. Security analysis shows that our proposed scheme can achieve desirable security requirements, i.e., forward security, backward security, and key independence. In addition, detailed performance evaluation also indicates our proposed scheme is efficient in comparison with previously reported schemes.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| 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