Implementation of High-Speed Pseudo-Random-Number Generator with Chaotic and Random Neural Networks

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dc.contributor.authorYoshida, Hitoaki
dc.contributor.authorFukuchi, Haruka
dc.contributor.authorMurakami, Takeshi
dc.date.accessioned2020-01-04T08:31:03Z
dc.date.available2020-01-04T08:31:03Z
dc.date.issued2020-01-07
dc.description.abstractChaotic and random time series generated from improved chaotic and random neural network (CRNN) afford statistically appropriate pseudo-random number series for information security. Randomness of outputs of CRNN is empirically validated in detail, and control methods of an appropriate ratio of chaotic character and randomness in the time series for PRNG is reported. The rate of random number generation has reached 2.8530×10^12 b/s. In future, the generator may play an important role on implementing applications for protecting personal information on the Internet.
dc.format.extent8 pages
dc.identifier.doi10.24251/HICSS.2020.786
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/64528
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDesigning Digitally Responsible System, Software and Services Engineering
dc.subjectchaos
dc.subjectgpu
dc.subjectinformation security
dc.subjectpseudo-random number
dc.subjectrandomness
dc.titleImplementation of High-Speed Pseudo-Random-Number Generator with Chaotic and Random Neural Networks
dc.typeConference Paper
dc.type.dcmiText

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