A pseudo random numbers generator based on chaotic iterations: application to watermarking

Authors:
Christophe Guyeux;Qianxue Wang;Jacques M. Bahi
Affiliations:
University of Franche-Comte, Computer Science Laboratory LIFC, Besançon Cedex, France;University of Franche-Comte, Computer Science Laboratory LIFC, Besançon Cedex, France;University of Franche-Comte, Computer Science Laboratory LIFC, Besançon Cedex, France
Venue:
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Year:
2010

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Abstract

In this paper, a new chaotic pseudo-random number generator (PRNG) is proposed. It combines the well-known ISAAC and XORshift generators with chaotic iterations. This PRNG possesses important properties of topological chaos and can successfully pass NIST and TestU01 batteries of tests. This makes our generator suitable for information security applications like cryptography. As an illustrative example, an application in the field of watermarking is presented.