Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/64528

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

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Title:Implementation of High-Speed Pseudo-Random-Number Generator with Chaotic and Random Neural Networks
Authors:Yoshida, Hitoaki
Fukuchi, Haruka
Murakami, Takeshi
Keywords:Designing Digitally Responsible System, Software and Services Engineering
chaos
gpu
information security
pseudo-random number
show 1 morerandomness
show less
Date Issued:07 Jan 2020
Abstract:Chaotic 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.
Pages/Duration:8 pages
URI:http://hdl.handle.net/10125/64528
ISBN:978-0-9981331-3-3
DOI:10.24251/HICSS.2020.786
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Designing Digitally Responsible System, Software and Services Engineering


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