A secure test solution for sensor nodes containing crypto-cores
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
There is a tradeoff between the requirements for security and testability for a sensor node hardware. To test a sensor, it is desired to have access to the internal circuitry of the Device-Under-Test (DUT) to apply test stimuli and observe its responses. While such unrestricted access to the DUT is desired for testing, it can undermine the security. To secure a sensor node from attacks by malicious attackers, it is imperative to limit user access once the device has been adopted for in-field use. Efficient design-for-testability (DFT) techniques have been developed without taking into consideration the security threats posed by them. For instance, scan structure which is widely deployed in modern digital circuits, can be used as an effective tool to wage an attack and extract critical information from cryptographic cores. In this work, a new solution is presented to protect sensor nodes containing crypto-cores against scan-based attacks without compromising their testability at the manufacturing phase. In the proposed solution, a built-in self-test (BIST) technique is developed to carry out in-field tests for crypto-cores while a scan-based test method is utilized for manufacturing test. The proposed method prevents scan-based attacks without compromising testability during the manufacturing phase.
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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 | 0.000 | 0.000 |
| 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