On-Chip Magnetic Probes for Hardware Trojan Prevention and 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
Security threats due to Hardware Trojans are growing in volume and variety. The miniature size of Trojans coupled with their diversity and their unpredictable effects made them difficult to detect. Researchers have proposed different techniques to either prevent the insertion of Hardware Trojans or detect them at early stages. In this article, a new tamper resilient solution is presented to capture the electromagnetic signature of integrated circuits to ensure their security. In the proposed method, the remaining metal and polysilicon layers are fully utilized as internal magnetic probes to monitor the signature of the device and in the meantime deprive attackers of layout resources to route Hardware Trojans. 3-D full-wave electromagnetic field simulations using high-frequency structural simulator show that tampering with a chip to insert a minimally invasive Trojan of 12 μm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , the area required to insert an inverter, can be detected through the magnetic signature.
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 | 0.001 |
| 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