A method for true random number generation by directly sampling a high frequency chaotic jerk circuit is explored. A method for determination of the maximum Lyapunov exponent, and thus the maximum bit rate for true random number generation, of the jerk system of interest is shown. The system is tested over a wide range of sampling parameters in order to simulate possible hardware configurations. The system is then implemented in high speed electronics on a small printed circuit board to verify its performance over the chosen parameters. The resulting circuit is well suited for random number generation due to its high dynamic complexity, long term aperiodicity, and extreme sensitivity to initial conditions. This system passes the Dieharder RNG test suite at 3.125 Mbps.
Random number generation, Dieharder, Chaotic circuits, Chaos theory, Nonlinear dynamics, Jerk oscillator
Primary Language  English 

Subjects  Electrical Engineering 
Journal Section  Research Articles 
Authors 

Early Pub Date  July 30, 2022 
Publication Date  July 30, 2022 
Published in Issue  Year 2022 Volume: 4 Issue: 2 
Chaos Theory and Applications in Applied Sciences and Engineering: An interdisciplinary journal of nonlinear science
The published articles in CHTA are licensed under a Creative Commons AttributionNonCommercial 4.0 International License