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Record W2995974171 · doi:10.1109/lssc.2019.2959779

Secondary Side-Channel Wireline Communication Using Transmitter Clock Frequency Modulation

2019· article· en· W2995974171 on OpenAlexafffund
Yi Fan Zhang, Joshua Liang, Shayan Shahramian, Behzad Dehlaghi, Ryan Bespalko, Michael O'Farrel, Dustin Dunwell, Davide Tonietto, Anthony Chan Carusone

Bibliographic record

VenueIEEE Solid-State Circuits Letters · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsHuawei Technologies (Canada)University of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWirelineTransmitterSide channel attackChannel (broadcasting)TransceiverComputer scienceElectronic engineeringTelecommunicationsPhysicsElectrical engineeringEngineeringWirelessAlgorithmCryptography

Abstract

fetched live from OpenAlex

A secondary communication link, or side-channel, is proposed, which uses binary frequency shift keying to modulate the frequency of a high-speed wireline transmitter clock. This side-channel data is then received using the corresponding receiver's conventional clock and data recovery (CDR) circuit. An analysis of the CDR loop parameters demonstrates that, within certain limits, the side-channel does not impact the signal integrity of the primary high-speed data. Measurements were made on a side-channel prototype using a 56-Gb/s PAM-4 (half-rate 14-GHz clock) transceiver in 7-nm FinFET technology through a 15-dB loss channel. Over 104side-channel bits were transmitted at 50 kb/s, and the side-channel remained error-free with no visible impact on the high-speed link.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.240
Teacher spread0.224 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2019
Admission routes2
Has abstractyes

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Same venueIEEE Solid-State Circuits LettersSame topicAdvancements in PLL and VCO TechnologiesFrench-language works237,207