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Record W2088630761 · doi:10.5555/1899721.1899723

A PUF design for secure FPGA-based embedded systems

2010· article· en· W2088630761 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicPhysical Unclonable Functions (PUFs) and Hardware Security
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsField-programmable gate arrayEmbedded systemComputer scienceRouting (electronic design automation)Signature (topology)Physical unclonable functionProcess (computing)Integrated circuitComputer architectureLogic synthesisIntegrated circuit designVirtexDigital signatureComputer hardwareLogic gateArbiter

Abstract

fetched live from OpenAlex

Abstract — The concept of having an integrated circuit (IC) generate its own unique digital signature has broad application in areas such as embedded systems security, and IP/IC counter-piracy. Physically unclonable functions (PUFs) are circuits that compute a unique signature for a given IC based on the process variations inherent in the IC manufacturing process. This pa-per presents the first PUF design specifically targeted for field-programmable gate arrays (FPGAs). Our novel design makes use of the underlying FPGA architecture, and unlike prior published PUFs, the proposed PUF can be naturally embedded into a de-sign’s HDL, consuming very little area, and does not require the use of “hard macros ” with fixed routing. Measured results on the Xilinx Virtex-5 65 nm FPGA demonstrate PUF signatures to be both unique and reliable under temperature variation. I.

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: Methods · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.021
GPT teacher head0.244
Teacher spread0.223 · 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