A compact ASIC implementation of the advanced encryption standard with concurrent error detection
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
In this paper, we investigate the application of concurrent error detection circuitry to a compact application-specific integrated circuit (ASIC) implementation of the Advanced Encryption Standard (AES). The specific objective of the design is to develop a method suitable for compact ASIC implementations targeted to embedded systems such that the system is resistant to fault attacks. To provide the error detection, recognizing that previously proposed schemes are not well suited to compact implementations, it is proposed to adopt a hybrid approach consisting of parity codes in combination with partial circuit redundancy. For compact ASIC implementations, taking such an approach gives a better ability to detect faults than simple parity codes, with less area cost than proposed schemes which use full hardware redundancy. The results of the implementation analysis in this paper show that it is possible to implement an error detection scheme that is robust to multiple faults in a compact AES design such that about 39% of the overall system is devoted to the error detection functionality.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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