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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 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

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 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sup> side-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.

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 categoriesMeta-epidemiology (narrow)
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 score0.314
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.017
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