A SEU-resistant, FPGA-based implementation of the substitution transformation in AES for security on satellites
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
Designing single event upset (SEU)-resistant security for communications in satellites is an important yet challenging problem. For example, although SRAM-based FPGAs are beneficial for satellite applications, they are susceptible to SEUs. Harsh environments such as space where cosmic radiation is present increase the likelihood of these errors known as SEUs. However these errors are also expected to be prevalent in non-space applications of future nanometer technologies. Thus this is an important problem to be studied for future secure embedded systems. Satellites require an encryption mechanism for many purposes; for example, to provide secure communications with the ground station. A SEU detection technique for a symmetric encryption algorithm, such as the NIST standardized Advanced Encryption Standard (AES), is additionally challenging due to its complex non-linear task in the algorithm, namely the substitution transformation (sub_byte). This research presents an efficient solution for single-bit SEU detection in the substitution task of AES. This approach uses fewer memory cells, provides 100% single-bit SEU coverage and achieves a low failure in time (FIT). This research is important for secure communications in an error-prone harsh environment such as satellites where low cost and high reliability are important.
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 | 0.000 |
| 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