Scalable Elliptic Curve Cryptosystem FPGA Processor for NIST Prime Curves
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
The architecture and the implementation of a high-performance scalable elliptic curve cryptography processor (ECP) are presented. The proposed ECP is able to support all five prime field elliptic curves recommended by the National Institute of Standards and Technology (NIST). The design takes advantage of the high-performance capabilities of the DSP48E slices available in Xilinx field-programmable gate arrays (FPGAs) to achieve high speed and low hardware resource utilization. The proposed design parallelizes the underlying prime field operations to reduce the latency of the elliptic curve point multiplication (ECPM) operation. Prime field inversion is performed efficiently using the same arithmetic blocks as the ones used for prime field multiplication and addition/subtraction. To the best of the authors' knowledge, the proposed scalable ECP is the fastest and smallest ECP that can support all five NIST recommended prime curves without the need to reconfigure the hardware. It can compute the ECPM between 1.709 and 28.04 ms using a Xilinx Virtex-5 FPGA.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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