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Record W2317844489 · doi:10.1109/mwscas.2014.6908367

Modeling the effect of NMOS gate capacitance in an on-chip decoupling capacitor PAA countermeasure

2014· article· en· W2317844489 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
TopicCryptographic Implementations and Security
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsNMOS logicDecoupling capacitorDecoupling (probability)CapacitanceCapacitorElectronic engineeringCountermeasureComputer scienceChipElectrical engineeringEngineeringVoltageControl engineeringTransistor

Abstract

fetched live from OpenAlex

In this paper we develop a general model based on the width of a decoupling NMOS gate capacitor for use in the design of decoupling based Power Analysis Attack (PAA) countermeasures. A polynomial equation was determined based on experimental data to link the width of the decoupling element with the data security provided by the countermeasure architecture. The proposed model is meant to act as a tool for a designer when considering the incurred design overheads when allocating area during the initial planning phase. Experimental data was collected from the simulation of a partial decoupling countermeasure test bench implemented in 65 nm TSMC technology with Correlation Power Analysis (CPA) attacks performed on traces collected at the power supply pin.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.273
Teacher spread0.254 · 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