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Record W2150154237 · doi:10.1109/ccece.2009.5090296

An ultra compact block cipher for serialized architecture implementations

2009· article· en· W2150154237 on OpenAlexafffund
Cheng Wang, Howard M. Heys

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicCryptographic Implementations and Security
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBlock cipherComputer scienceCipherCBC-MACKey (lock)Triple DESBlock sizeBlock (permutation group theory)EncryptionArchitectureStream cipherCryptographyEmbedded systemComputer architectureComputer hardwareComputer networkOperating systemAlgorithmMathematics

Abstract

fetched live from OpenAlex

In this paper, we present a new block cipher, referred as PUFFIN2, that is designed to be used with applications requiring very low circuit area. PUFFIN2 is designed to be implemented exclusively with CMOS technologies and in a serialized architecture, so that the maximum reuse of hardware components is achieved resulting in a very compact implementation. PUFFIN2 has a block size of 64 bits and a key size of 80 bits. Compared with a serialized implementation of cipher PRESENT, which has the same block size and key size and is claimed as the smallest practical block cipher implementation to date, our cipher has 16% fewer gates using the same CMOS technology. Further, PUFFIN2 inherently supports both encryption and decryption while the serialized PRESENT is an encryption-only 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.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.014

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.023
GPT teacher head0.347
Teacher spread0.323 · 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
GenreMethods

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

Citations20
Published2009
Admission routes2
Has abstractyes

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