Implementation of a Chaotic True Random Number Generator Based on Fuzzy Modeling
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Bibliographic record
Abstract
The present work demonstrates a new approach to design a chaos-based random number generator, for high-security communications and cryptographic applications. In our approach, a single-scroll chaotic system is modeled by a fuzzy logic circuit, with the support of physical entropy sources. Because of a strong dependence on the initial conditions of the chaotic system, physical entropy sources are chosen to enrich the randomness of the overall signal outcome. The modeling of the chaotic map by fuzzy logic circuits enhance the system immunity to noise and assure a certain degree of parameter deviation robustness. The frequency, operating up to 10 MHz, provides high throughput random sequences, which pass the test of full NIST random number test suite. The system is implemented in an analog circuit using a standard CMOS 65 nm technology to verify the advantages of the proposed system.
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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 | 0.000 | 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