Design and implementation of a novel cryptographically secure pseudorandom number generator

The aim of this paper is to present a new design for a pseudorandom number generator (PRNG) that is cryptographically secure, passes all of the usual statistical tests referenced in the literature and hence generates high-quality random sequences, that is compact and easy to implement in practice, of portable design and offering reasonable execution times. Our procedure achieves those objectives through the use of a sequence of modular exponentiations followed by the application of Feistel-like boxes that mix up bits using a nonlinear function. The results of extensive statistical tests on sequences of about 2(40) bits in size generated by our algorithm are also presented.