Using a pipelined S-box in compact AES hardware implementations
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.
Bibliographic record
Abstract
Pipelined S-boxes are usually used in high speed hardware implementations of the Advanced Encryption Standard (AES), and not typically found in compact implementations because of the extra complexity added by the pipeline registers. In this paper, the area and speed performance of applying a pipelined S-box to compact AES hardware implementations is examined. A new compact AES encryption hardware core with 128-bit keys is proposed. The proposed design employs a single 4-stage pipelined S-box that is shared by t he data path operation and the key expansion operation. Compared with the previous smallest encryption-only ASIC implementation of AES, it achieves an increase in throughput of 2.1 times while maintaining a similar gate count. This result indicates that it is reasonable to consider using pipelined S-boxes in AES hardware implementations targeted at applications requiring low area and moderate speed.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it