Yet Another Pseudorandom Number Generator

Yet Another Pseudorandom Number Generator

We propose a novel pseudorandom number generator based on Rössler attractor and bent Boolean function. We estimated the output bits properties by number of statistical tests. The results of the cryptanalysis show that the new pseudorandom number generation scheme provides a high level of data security. Keywords—Rössler attractor, bent Boolean function, pseudorandom number generator.

MUGI Pseudorandom Number Generator

The Linux Pseudorandom Number Generator Revisited

The Linux pseudorandom number generator (PRNG) is a PRNG with entropy inputs which is widely used in many security related applications and protocols. This PRNG is written as an open source code which is subject to regular changes. It was last analyzed in the work of Gutterman et al. in 2006 [GPR06] but since then no new analysis has been made available, while in the meantime several changes ha...

On a nonlinear congruential pseudorandom number generator

A nonlinear congruential pseudorandom number generator with modulus M = 2w is proposed, which may be viewed to comprise both linear as well as inversive congruential generators. The condition for it to generate sequences of maximal period length is obtained. It is akin to the inversive one and bears a remarkable resemblance to the latter.

An Introduction to Pseudorandom Number Generator

R andom numbers are important in every aspect of cryptography. We are evaluating the basic principles which are essential in the design of uniform random number generators, their most important quality requirements, their theoretical study, and their practical testing. National Institute of Standards and Technology (NIST) statistical test suite is the best test suite provided to test the accura...