Verification of a chaos-based random number generator through the bootstrap

A random number generation method based on a cross coupled chaotic oscillator is introduced. Numerical model for the proposed design has been developed where bootstrap method is utilized which allows us to estimate the statistical characteristics of underlying chaotic signal. Numerical results verifying the feasibility and correct operation of the random number generator are given such that numerically generated binary sequences fulfill FIPS-140-2 statistical test suites for randomness without post-processing. Presented random number generator features much higher and constant throughput rates and allows offset compensation.