Deep Exploration on Fault Model of Electromagnetic Pulse Attack
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 efficient fault injection attack (FIA) technique, electromagnetic pulse attack (EMPA), becomes a severe threat to the security of integrated circuits (ICs). Understanding the fault model of EMPA is necessary to protect ICs against EMPA. This work investigates the fault model of EMPA on digital circuits in depth by exploring its fault behaviors, fault conditions and fault causes. During exploration, a new kind of sampling fault model, called S-sampling fault model, is found. By adding the new finding, the fault models of EMPA can be built, fully covering the combinational and sequential digital circuits, the positive and negative polarity of EM pulse, and the signals processed by the circuits. The investigation is carried out based on the circuit-level simulation, considering the disturbances on the IC power and ground grids caused by EMPA. The insights into the EMPA fault models allow circuit designers to design more efficient countermeasures against EMPA.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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