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Communication Dans Un Congrès Année : 2016

Design of a pseudo-chaotic number generator as a random number generator

Résumé

Generating random numbers is essential in many cryptographic applications like key generation, cryptographic protocols for example Transport Layer Security (TLS) protocol, nonce and also in Internet for choosing TCP sequence numbers. We need generators which are able to construct large amounts of secure random numbers. To this end, True Random Number Generators (TRNGs) which extract randomness from physical processes are usually used. The sequences generated by TRNGs cannot be reproduced. However, generating random numbers by this way is time-consuming and expensive. Another way to generate random numbers is to use deterministic random number generators in which the seed is reseeded many times during the generation of the sequence. In this paper, we propose a new pseudo-chaotic number generator (PCNG) that produces random numbers. The algorithm is refreshed many times by using entropy source from Linux kernel. Results of statistical properties (i.e. Nist test, auto and cross-correlation, histogram, chi2-test and software security analysis) exhibit good performance thus demonstrating that the proposed generator can be used confidently to produce random numbers.
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Dates et versions

hal-01295584 , version 1 (31-03-2016)

Identifiants

  • HAL Id : hal-01295584 , version 1

Citer

Mohammad Abu Taha, Safwan El Assad, Ons Jallouli, Audrey Queudet, Olivier Déforges. Design of a pseudo-chaotic number generator as a random number generator. The 11th International Conference on Communications, Jun 2016, Bucarest, Romania. pp.comm2016. ⟨hal-01295584⟩
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