INCREASING THE ENTROPY OF A RANDOM NUMBER GENERATOR USING n-SCROLL CHAOTIC ATTRACTORS

Abstract

The purpose of this paper is to investigate the effect of the number of scrolls on the measure-theoretic entropy of a random bit generator (RBG) based on multiscroll chaotic attractor. The binary output of the proposed RBG is obtained by sampling the output of the generalized nonlinearity of multiscroll chaotic attractor circuit which is in fact a noninvertible function. Our numeric simulations show that the entropy of the proposed random bit generator is increased by increasing the number of scrolls.