A Threshold Authenticated Encryption Scheme for Secure Communications in Aging-in-Place Systems
Bibliographic record
Abstract
The global trend toward aging populations shows the significance of Aging in Place (AiP), which necessitates advanced technologies that enhance both the safety and autonomy of the elderly within their familiar environments. In this context, secure and efficient communication within Internet of Things (IoT) networks for AiP systems becomes crucial. In this paper, we present a novel threshold authenticated encryption scheme designed specifically for AiP contexts. Our proposed scheme integrates the EIGamal threshold decryption with a binary fuse filter, effectively minimizing the frequency of communication group key updates thereby reducing communication overhead. Furthermore, our scheme applies the ASCON encryption algorithm to secure messages’ contents, ensuring the transmitted data’s security. Security analysis confirms that our proposed scheme satisfies the security requirements, which ensures confidentiality and integrity. Performance evaluations also validate its efficiency, highlighting its advantages in terms of communication, storage, and computation overheads.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".