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Record W1619618724 · doi:10.1109/ccece.2003.1226342

Implementation of AES as a CMOS core

2004· article· en· W1619618724 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
TopicChaos-based Image/Signal Encryption
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsAdvanced Encryption StandardApplication-specific integrated circuitAES implementationsComputer scienceCMOSNISTEncryptionEmbedded systemStandard cellThroughputComputer hardwareEncryption softwareBlock (permutation group theory)Key (lock)Field-programmable gate arrayDisk encryption40-bit encryptionElectronic engineeringIntegrated circuitEngineeringComputer networkOperating system

Abstract

fetched live from OpenAlex

Rijndael is the new advanced encryption standard (AES) that was chosen by the American National Institute of Standards and Technology (NIST) in October 2000. This paper investigates the implementation of the 128 bits key size AES algorithm using an iterative architecture in a 0.18 micron semi-custom ASIC using a CMOS standard cell library. Our research focuses on the basic electronic codebook (ECB) mode. The circuit was efficiently designed to have both encryption and decryption functions. Depending on the input control signal, the design can work as an encryption core or a decryption core. Our result shows that, for a clock frequency of 100 MHz, we can achieve a throughput of more than 1 Gbps. The core area is approximately 2.6 mm/sup 2/. This high-speed hard macro can be used as a reusable IP block to be embedded into a system-on-chip (SOC) design in the future.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.673
Threshold uncertainty score0.204

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 head0.021
GPT teacher head0.318
Teacher spread0.297 · 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

Quick stats

Citations6
Published2004
Admission routes1
Has abstractyes

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