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Chaos-based true random number generators

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dc.affiliation.institutoUC3M. Instituto Universitario sobre Modelización y Simulación en Fluidodinámica, Nanociencia y Matemática Industrial Gregorio Millán Barbanyes
dc.contributor.authorLópez Bonilla, Luis Francisco
dc.contributor.authorÁlvaro Ballesteros, Mariano
dc.contributor.authorCarretero Cerrajero, Manuel
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2023-11-29T09:12:53Z
dc.date.available2023-11-29T09:12:53Z
dc.date.issued2016-06-29
dc.description.abstractRandom number (bit) generators are crucial to secure communications, data transfer and storage, and electronic transactions, to carry out stochastic simulations and to many other applications. As software generated random sequences are not truly random, fast entropy sources such as quantum systems or classically chaotic systems can be viable alternatives provided they generate high-quality random sequences sufficiently fast. The discovery of spontaneous chaos in semiconductor superlattices at room temperature has produced a valuable nanotechnology option. Here we explain a mathematical model to describe spontaneous chaos in semiconductor superlattices at room temperature, solve it numerically to reveal the origin and characteristics of chaotic oscillations, and discuss the limitations of the model in view of known experiments. We also explain how to extract verified random bits from the analog chaotic signal produced by the superlattice.en
dc.description.sponsorshipThis work has been supported by the Spanish Ministerio de Economía y Competitividad grants FIS2011-28838-C02-01 and MTM2014-56948-C2-2-P.en
dc.format.extent17
dc.identifier.bibliographicCitationBonilla, L. L., Álvaro, M., & Carretero, M. (2016). Chaos-based true random number generators. Journal of Mathematics in Industry, 7, 1.en
dc.identifier.doihttps://doi.org/10.1186/s13362-016-0026-4
dc.identifier.issn2190-5983
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue1
dc.identifier.publicationlastpage17
dc.identifier.publicationtitleJournal of Mathematics in Industryen
dc.identifier.publicationvolume7
dc.identifier.urihttps://hdl.handle.net/10016/38988
dc.identifier.uxxiAR/0000019948
dc.language.isoengen
dc.publisherSpringeren
dc.relation.projectIDGobierno de España. FIS2011-28838-C02-01es
dc.relation.projectIDGobierno de España. MTM2014-56948-C2-2-Pes
dc.rights© 2016 Bonilla et al.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaFísicaes
dc.subject.ecienciaIngeniería Industriales
dc.subject.ecienciaIngeniería Mecánicaes
dc.subject.ecienciaMatemáticases
dc.subject.ecienciaMaterialeses
dc.subject.ecienciaQuímicaes
dc.subject.otherRandom bit generatoren
dc.subject.otherSemiconductor superlatticeen
dc.subject.otherDeterministic and stochastic chaosen
dc.titleChaos-based true random number generatorsen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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