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Pseudo-random number generator based on mixing of three chaotic maps
Journal article   Peer reviewed

Pseudo-random number generator based on mixing of three chaotic maps

Michael François, Thomas Grosges, Dominique Barchiesi and Robert Erra
Communications in Nonlinear Science and Numerical Simulation, Vol.19(4), pp.887--895
2014

Abstract

Pseudo-random Cryptography Permutation Statistical analysis Nonlinear chaotic function
A secure pseudo-random number generator three-mixer is proposed. The principle of the method consists in mixing three chaotic maps produced from an input initial vector. The algorithm uses permutations whose positions are computed and indexed by a standard chaotic function and a linear congruence. The performance of that scheme is evaluated through statistical analysis. Such a cryptosystem lets appear significant cryptographic qualities for a high security level.
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