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Record W2161300246 · doi:10.1109/ccece.1999.807231

A CPLD-based RC4 cracking system

2003· article· en· W2161300246 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicCryptographic Implementations and Security
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComplex programmable logic deviceComputer scienceEmbedded systemCipherProgrammable logic deviceField-programmable gate arrayCryptosystemComputer hardwareEncryptionOperating system

Abstract

fetched live from OpenAlex

Presents a complex programmable logic device (CPLD) based system for cracking the RC4 (Rivest Cipher 4) encryption algorithm. The system achieves an outstanding price/performance ratio, easily beating other low-cost approaches, such as commodity PCs. The system was implemented using a single Altera EPF10K20 CPLD on an Altera UP1 Education Board. This CPLD is large enough to contain the control unit and five functional units. Measured performance on our prototype shows that we can crack a 32-bit RC4 in an expected time of 15 hours (30 hours worst case). This gives a theoretical expected time of 159 days to crack 40-bit keys-the maximum possible key length that can exported from Canada and the USA. Our results demonstrate the effectiveness of programmable logic (CPLD or FPGA) against even a cryptosystem designed for software implementation.

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 score0.972
Threshold uncertainty score0.212

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 head0.018
GPT teacher head0.259
Teacher spread0.241 · 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