On-chip decoupling architecture with variable nMOS gate capacitance for security protection
Bibliographic record
Abstract
This paper presents a new on-chip partial decoupling architecture with variable nMOS gate capacitance as a countermeasure against power analysis attacks. The preferred form of the countermeasure consists of a decoupling switch and primary gate capacitor along with a bank of secondary gate capacitors which are coupled and decoupled in a random fashion. This provides a means of decoupling a sensitive cryptographic module from the power supply with low overhead and low design complexity. The random use of the secondary decoupling gate capacitors serves to mix and hide indirectly leaked side channel information from previous charge/discharge cycles. An implementation of the proposed architecture protecting an AES Sbox module was implemented in 65 nm CMOS TSMC technology. Simulations were performed using Cadence. Initial results conducted using 2000 traces collected at the power supply pin of the design show that the proposed countermeasure protects against correlation power analysis attacks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".