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arXiv · 1112.0950

Class of Trustworthy Pseudo-Random Number Generators

Jacques M. Bahi·Jean-François Couchot·Christophe Guyeux·Qianxue Wang
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Abstract

With the widespread use of communication technologies, cryptosystems are therefore critical to guarantee security over open networks as the Internet. Pseudo-random number generators (PRNGs) are fundamental in cryptosystems and information hiding schemes. One of the existing chaos-based PRNGs is using chaotic iterations schemes. In prior literature, the iterate function is just the vectorial boolean negation. In this paper, we propose a method using Graph with strongly connected components as a selection criterion for chaotic iterate function. In order to face the challenge of using the proposed chaotic iterate functions in PRNG, these PRNGs are subjected to a statistical battery of tests, which is the well-known NIST in the area of cryptography.

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Jacques M. Bahi, Jean-François Couchot, Christophe Guyeux, Qianxue Wang. 2011-12-05. Class of Trustworthy Pseudo-Random Number Generators. https://arxiv.org/abs/1112.0950

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