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Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor
The intrinsic stochasticity of the memristor can be used to generate true random numbers, essential for non-decryptable hardware-based security devices. Here, we propose a novel and advanced method to generate true random numbers utilizing the stochastic oscillation behavior of a NbO(x) mott memrist...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131590/ https://www.ncbi.nlm.nih.gov/pubmed/34006879 http://dx.doi.org/10.1038/s41467-021-23184-y |
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author | Kim, Gwangmin In, Jae Hyun Kim, Young Seok Rhee, Hakseung Park, Woojoon Song, Hanchan Park, Juseong Kim, Kyung Min |
author_facet | Kim, Gwangmin In, Jae Hyun Kim, Young Seok Rhee, Hakseung Park, Woojoon Song, Hanchan Park, Juseong Kim, Kyung Min |
author_sort | Kim, Gwangmin |
collection | PubMed |
description | The intrinsic stochasticity of the memristor can be used to generate true random numbers, essential for non-decryptable hardware-based security devices. Here, we propose a novel and advanced method to generate true random numbers utilizing the stochastic oscillation behavior of a NbO(x) mott memristor, exhibiting self-clocking, fast and variation tolerant characteristics. The random number generation rate of the device can be at least 40 kb s(−1), which is the fastest record compared with previous volatile memristor-based TRNG devices. Also, its dimensionless operating principle provides high tolerance against both ambient temperature variation and device-to-device variation, enabling robust security hardware applicable in harsh environments. |
format | Online Article Text |
id | pubmed-8131590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81315902021-05-24 Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor Kim, Gwangmin In, Jae Hyun Kim, Young Seok Rhee, Hakseung Park, Woojoon Song, Hanchan Park, Juseong Kim, Kyung Min Nat Commun Article The intrinsic stochasticity of the memristor can be used to generate true random numbers, essential for non-decryptable hardware-based security devices. Here, we propose a novel and advanced method to generate true random numbers utilizing the stochastic oscillation behavior of a NbO(x) mott memristor, exhibiting self-clocking, fast and variation tolerant characteristics. The random number generation rate of the device can be at least 40 kb s(−1), which is the fastest record compared with previous volatile memristor-based TRNG devices. Also, its dimensionless operating principle provides high tolerance against both ambient temperature variation and device-to-device variation, enabling robust security hardware applicable in harsh environments. Nature Publishing Group UK 2021-05-18 /pmc/articles/PMC8131590/ /pubmed/34006879 http://dx.doi.org/10.1038/s41467-021-23184-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kim, Gwangmin In, Jae Hyun Kim, Young Seok Rhee, Hakseung Park, Woojoon Song, Hanchan Park, Juseong Kim, Kyung Min Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor |
title | Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor |
title_full | Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor |
title_fullStr | Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor |
title_full_unstemmed | Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor |
title_short | Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor |
title_sort | self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131590/ https://www.ncbi.nlm.nih.gov/pubmed/34006879 http://dx.doi.org/10.1038/s41467-021-23184-y |
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