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Article type: Research Article
Authors: Francois, Michael | Grosges, Thomas; | Barchiesi, Dominique | Erra, Robert
Affiliations: Project Group for Automatic Mesh Generation and Advanced Methods, Gamma3 Project, University of Technology of Troyes, 12 rue Marie Curie, CS 42060, 10004 Troyes Cedex, France, e-mail: thomas.grosges@utt.fr | Network & Information Security, Ecole Supérieure d'Informatique, Electronique, Automatique, 9 rue Vésale, 75005 Paris, France
Note: [] Corresponding author.
Abstract: A new pseudo-random number generator (PRNG) is proposed. The principle of the method consists in mixing chaotic maps produced from an input initial vector. The algorithm uses permutations whose positions are computed and indexed by a chaotic function based on linear congruences. The performance of this scheme is evaluated through statistical analysis. Such a cryptosystem lets appear significant cryptographic qualities for a good security level.
Keywords: chaotic function, permutation, linear congruence, pseudo-random, cryptography
Journal: Informatica, vol. 24, no. 2, pp. 181-197, 2013
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