Design of a Reliable Current Starved Inverter Based Arbiter Physical Unclonable Functions (PUFs) for Hardware Cryptography
Bibliographic record
Abstract
For most cryptographic algorithms, the secret keys must be permanently stored in nonvolatile memories (NVNs) and used for distinct security operations.This gives rise to power constraints, location limits and security threats to hardware facilities.To solve the problems, this paper proposes a novel and reliable current starved inverter (CSI) based on a physical unclonable function (PUF) architecture (8, 16 and 32 stages), using 45nm complementary metal-oxide-semiconductor (CMOS) technology.The proposed CSI was simulated on Spectre Simulation Platform.The results show that its uniqueness, reliability and randomness were 49.26 %, 98.86 % and 86.12 %, respectively, in the temperature range of -20~80 ℃.In addition, the performance of the proposed CSI was proved to outshine that of existing PUF architectures in stability and reliability.The research results are significant for the development of critical security applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".