Random number generation using field programmable analog array implementation of logistic map

Random number generators are cryptographic components that generate unpredictable, independent and identically distributed bits. We studied 1D chaotic logistic map in the context of random number generation. Nonlinear dynamics of the logistic map, its statistical and spectral features are studied using numerical simulations. Logistic map based random number generator is implemented on a discrete time operating field programmable analog array chip. We evaluated the random number generation performance of our design using NIST 800.22 statistical tests.