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

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dc.contributor.author Abutaha, Mohammed
dc.contributor.author El Assad, Safwan
dc.contributor.author Jallouli, Ons
dc.contributor.author Queudet, Audrey
dc.contributor.author Deforges, Olivier
dc.date.accessioned 2020-12-09T09:22:57Z
dc.date.accessioned 2022-05-22T08:53:05Z
dc.date.available 2020-12-09T09:22:57Z
dc.date.available 2022-05-22T08:53:05Z
dc.date.issued 2016
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/8141
dc.description.abstract Generating random numbers is essential in many cryptographic applications like key generation, protocols, nonce and also in Internet for choosing TCP sequence numbers for example. 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 kerne
dc.publisher IEEE
dc.title Design of a pseudo-chaotic number generator as a random number generator

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