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Record W2173256474 · doi:10.1109/cicc.2015.7338478

A low energy SRAM-based physically unclonable function primitive in 28 nm CMOS

2015· article· en· W2173256474 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicPhysical Unclonable Functions (PUFs) and Hardware Security
Canadian institutionsUniversity of Waterloo
FundersCMC Microsystems
KeywordsStatic random-access memoryPhysical unclonable functionCMOSComputer scienceNoise marginElectronic engineeringEnergy (signal processing)Overhead (engineering)Error detection and correctionVoltageComputer hardwareAlgorithmElectrical engineeringEngineeringCryptographyMathematicsTransistorStatistics

Abstract

fetched live from OpenAlex

A 0.6 V low energy 64 kb SRAM-based PUF macro protected with a multi-bit error correcting circuit is fabricated in a 28 nm LP-CMOS process. The static noise margin difference (ΔSNM) is proposed as a design-time cell asymmetry metric for characterizing bitcell PUF response reproducibility. The ΔSNM is then used in conjunction with a Pelgrom's model based design methodology to compare a set of eight 6T SRAM bitcells designed to operate over a 0.6 V to 1.0 V voltage range. Majority voting and data integrity masking is used to reduce the error correction parity-bit overhead by 65% to yield 100% reproducible PUF responses. Finally, measurement results over a set of five test chips show an average active access energy of 0.045 fJ/bit-cycle.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.216
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it