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Record W2094456430 · doi:10.1109/mwscas.2013.6674904

On-chip decoupling architecture with variable nMOS gate capacitance for security protection

2013· article· en· W2094456430 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)CapacitorCMOSCapacitanceElectrical engineeringElectronic engineeringPower analysisComputer scienceEngineeringVoltageCryptographyTransistorComputer securityPhysics

Abstract

fetched live from OpenAlex

This paper presents a new on-chip partial decoupling architecture with variable nMOS gate capacitance as a countermeasure against power analysis attacks. The preferred form of the countermeasure consists of a decoupling switch and primary gate capacitor along with a bank of secondary gate capacitors which are coupled and decoupled in a random fashion. This provides a means of decoupling a sensitive cryptographic module from the power supply with low overhead and low design complexity. The random use of the secondary decoupling gate capacitors serves to mix and hide indirectly leaked side channel information from previous charge/discharge cycles. An implementation of the proposed architecture protecting an AES Sbox module was implemented in 65 nm CMOS TSMC technology. Simulations were performed using Cadence. Initial results conducted using 2000 traces collected at the power supply pin of the design show that the proposed countermeasure protects against correlation power analysis attacks.

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: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.666
Threshold uncertainty score0.393

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 science0.0000.000
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 head0.014
GPT teacher head0.232
Teacher spread0.219 · 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