Secure timing synchronization for heterogeneous sensor network using pairing over elliptic curve
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Secure time synchronization is one of the key concerns for some sophisticated sensor network applications. Most existing time synchronization protocols are affected by almost all attacks. In this paper, we consider heterogeneous sensor networks (HSNs) as a model for our proposed novel time synchronization protocol based on pairing and identity‐based cryptography (IBC). This is the first approach for time synchronization protocol using pairing‐based cryptography (PBC) in HSNs. The proposed protocol reduces the communication overhead of the nodes as well as prevents from all the major security attacks. Security analysis shows, it robust against reply attacks, masquerade attacks, delay attacks, and message manipulation attacks. Copyright © 2009 John Wiley & Sons, Ltd.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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