Reliability of Physical Unclonable Function under Temperature and Supply Voltage Variations
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
Physically Unclonable Function (PUF) has emerged as a cost-effective building block for crypto cores and security system. The unique signature of a PUF is primarily attributed to the process variations where the effects of other factors such as supply voltage, temperature and aging are considered to be minor. In this work, detail analysis to evaluate supply voltage and temperature effects on PUF reliability is presented. It is shown that the effects of supply voltage and temperature variations on PUF reliability can be comparable to the effects of process variations. It is also shown how temperature variation affects propagation delay of logic cells and consequently undermines PUF reliability. Simulation results using CMOS 0.18 μm technology in Cadence environment with ±10 power supply variations for a temperature range of -400°C to +70°C indicate that these effects can reduce PUF reliability by more than 58%.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it