RF Fingerprints for Secure Authentication in Single-Hop WSN
Why this work is in the frame
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Bibliographic record
Abstract
Secure authentication in wireless sensor networks is complicated by the promiscuous nature of the wireless transmission medium and by the limited hardware and software capabilities of the nodes in such networks. We analyze the requirements for using RF fingerprints to initialize secure authenticated links in a wireless sensor network for a surveillance application that allows older people to remain in their homes longer (termed the dasiaaging in placepsila application). Based on the lessons learned from our literature survey, we show that RF fingerprints alone are inadequate for authentication. We present a new authentication protocol based on digital credentials that binds together physical-layer RF fingerprint data with higher cryptographic protocol layer data which is practical, but also based on well-known and proven security principles.
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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 | 0.000 |
| 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