Broadcast-enhanced Key Predistribution Schemes.
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Bibliographic record
Abstract
Schemes. These schemes are suitable for networks with access to a trusted base station and an authenticated broadcast channel. We demonstrate that the access to these extra resources allows for the creation of broadcast-enchanced key predistribution schemes with advantages over key predistribution schemes such as flexibility and more efficient revocation. There are many possible ways to implement broadcast-enhanced key predistribution schemes, and we propose a framework for describing and analysing them. In their paper ‘From key predistribution to key redistribution’, Cichoń, Gol¸ebiewski and Kutylowski propose a scheme for ‘redistributing ’ keys to a wireless sensor network using a broadcast channel after an initial key predistribution. We classify this as a broadcast-enhanced key predistribution scheme and analyse it in that context. We provide simpler proofs of some results from their paper, give a precise analysis of the resilience of their scheme, and discuss possible modifications. In the latter half of the paper we study two scenarios where broadcast-enhanced key predistribution schemes may be particularly desirable and consider the design goals to prioritise in each case. For each scenario we propose a suitable family of broadcastenhanced key predistribution schemes and our analysis demonstrates their effectiveness in achieving their aims in resource-constrained networks. 1.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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