Chaotic Clock Driven Cryptographic Chip: Towards a DPA Resistant AES Processor
Bibliographic record
Abstract
Designing a tamper-resistant microchip for small embedded systems is one of the urgent demands of the computing community nowadays due to the immense security challenges arising particularly in massively connected networks. One of the major threats to secure smart card chips is the ability ofSide Channel Attacks (SCA), such as Correlation Power Analysis (CPA) and Correlation Instantaneous Frequency Analysis (CIFA) to increase the vulnerability of the secured cipher text to attacks even when the state of the artAdvanced Encryption Standard (AES)is used. In this paper we explore the possibility of using chaotic clocking to protect AES chips against CPA and CIFA attacks. Our findings reveal that chaotic clocks, although not random, can effectively provide this protection with a low power envelope. Chaotic clocks derived from two different chaotic systems were used for testing in order to confirm the findings. Two FPGA boards running AES were driven using these chaotic clocks in order to prove the applicability of the proposed security enhancement technique.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".