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Atmospheric pressure air microplasma current time series for true random bit generation

Generating true random bits of high quality at high data rates is usually viewed as a challenging task. To do so, physical sources of entropy with wide bandwidth are required which are able to provide truly random bits and not pseudorandom bits, as it is the case with deterministic algorithms and ch...

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Autores principales: Allagui, Anis, Majzoub, Sohaib, Elwakil, Ahmed S., Rojas, Andrea Espinel, Alawadhi, Hussain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708637/
https://www.ncbi.nlm.nih.gov/pubmed/33262436
http://dx.doi.org/10.1038/s41598-020-77956-5
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author Allagui, Anis
Majzoub, Sohaib
Elwakil, Ahmed S.
Rojas, Andrea Espinel
Alawadhi, Hussain
author_facet Allagui, Anis
Majzoub, Sohaib
Elwakil, Ahmed S.
Rojas, Andrea Espinel
Alawadhi, Hussain
author_sort Allagui, Anis
collection PubMed
description Generating true random bits of high quality at high data rates is usually viewed as a challenging task. To do so, physical sources of entropy with wide bandwidth are required which are able to provide truly random bits and not pseudorandom bits, as it is the case with deterministic algorithms and chaotic systems. In this work we demonstrate a reliable high-speed true random bit generator (TRBG) device based on the unpredictable electrical current time series of atmospheric pressure air microplasma (APAMP). After binarization of the sampled current time series, no further post-processing was needed in order for the bitstreams to pass all 15 tests of the NIST SP 800-22 statistical test suite. Several configurations of the system have been successfully tested at different sampling rates up to 100 MS/s, and with different inter-electrode distances giving visible/non-visible optical emissions. The cost-effectiveness, simplicity and ease of implementation of the proposed APAMP system compared to others makes it a very promising solution for portable TRBGs.
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spelling pubmed-77086372020-12-03 Atmospheric pressure air microplasma current time series for true random bit generation Allagui, Anis Majzoub, Sohaib Elwakil, Ahmed S. Rojas, Andrea Espinel Alawadhi, Hussain Sci Rep Article Generating true random bits of high quality at high data rates is usually viewed as a challenging task. To do so, physical sources of entropy with wide bandwidth are required which are able to provide truly random bits and not pseudorandom bits, as it is the case with deterministic algorithms and chaotic systems. In this work we demonstrate a reliable high-speed true random bit generator (TRBG) device based on the unpredictable electrical current time series of atmospheric pressure air microplasma (APAMP). After binarization of the sampled current time series, no further post-processing was needed in order for the bitstreams to pass all 15 tests of the NIST SP 800-22 statistical test suite. Several configurations of the system have been successfully tested at different sampling rates up to 100 MS/s, and with different inter-electrode distances giving visible/non-visible optical emissions. The cost-effectiveness, simplicity and ease of implementation of the proposed APAMP system compared to others makes it a very promising solution for portable TRBGs. Nature Publishing Group UK 2020-12-01 /pmc/articles/PMC7708637/ /pubmed/33262436 http://dx.doi.org/10.1038/s41598-020-77956-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Allagui, Anis
Majzoub, Sohaib
Elwakil, Ahmed S.
Rojas, Andrea Espinel
Alawadhi, Hussain
Atmospheric pressure air microplasma current time series for true random bit generation
title Atmospheric pressure air microplasma current time series for true random bit generation
title_full Atmospheric pressure air microplasma current time series for true random bit generation
title_fullStr Atmospheric pressure air microplasma current time series for true random bit generation
title_full_unstemmed Atmospheric pressure air microplasma current time series for true random bit generation
title_short Atmospheric pressure air microplasma current time series for true random bit generation
title_sort atmospheric pressure air microplasma current time series for true random bit generation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708637/
https://www.ncbi.nlm.nih.gov/pubmed/33262436
http://dx.doi.org/10.1038/s41598-020-77956-5
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