A split-mask countermeasure for low-energy secure embedded systems
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
Future wireless embedded devices will be increasingly powerful, supporting many more applications, including one of the most crucial---security. Although many embedded devices offer more resistance to bus---probing attacks because of their compact size, susceptibility to power or electromagnetic analysis attacks must be analyzed. This paper presents a new split-mask countermeasure to thwart low-order differential power analysis (DPA) and differential EM analysis (DEMA). For the first time, real-power and EM measurements are used to analyze the difficulty of launching new third-order DPA and DEMA attacks on a popular low-energy 32-bit embedded ARM processor. Results show that the new split-mask countermeasure provides increased security without large overheads of energy dissipation, compared to previous research. With the emergence of security applications in PDAs, cell phones, and other embedded devices, low-energy countermeasures for resistance to low-order DPA/DEMA is crucial for supporting future enabled wireless internet.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 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