A True Random Number Generator based on a Chaotic Jerk System

We present a scheme for true random number generation by directly sampling a chaotic jerk system. 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. This system is readily implemented in high speed electronics and is well suited for random number generation due to its high dynamic complexity, long term aperiodicity, and extreme sensitivity to initial conditions.