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Bi(2)O(2)Se-Based True Random Number Generator for Security Applications

[Image: see text] The fast development of the Internet of things (IoT) promises to deliver convenience to human life. However, a huge amount of the data is constantly generated, transmitted, processed, and stored, posing significant security challenges. The currently available security protocols and...

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Detalles Bibliográficos
Autores principales: Liu, Bo, Chang, Ying-Feng, Li, Juzhe, Liu, Xu, Wang, Le An, Verma, Dharmendra, Liang, Hanyuan, Zhu, Hui, Zhao, Yudi, Li, Lain-Jong, Hou, Tuo-Hung, Lai, Chao-Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048684/
https://www.ncbi.nlm.nih.gov/pubmed/35333049
http://dx.doi.org/10.1021/acsnano.2c01784
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author Liu, Bo
Chang, Ying-Feng
Li, Juzhe
Liu, Xu
Wang, Le An
Verma, Dharmendra
Liang, Hanyuan
Zhu, Hui
Zhao, Yudi
Li, Lain-Jong
Hou, Tuo-Hung
Lai, Chao-Sung
author_facet Liu, Bo
Chang, Ying-Feng
Li, Juzhe
Liu, Xu
Wang, Le An
Verma, Dharmendra
Liang, Hanyuan
Zhu, Hui
Zhao, Yudi
Li, Lain-Jong
Hou, Tuo-Hung
Lai, Chao-Sung
author_sort Liu, Bo
collection PubMed
description [Image: see text] The fast development of the Internet of things (IoT) promises to deliver convenience to human life. However, a huge amount of the data is constantly generated, transmitted, processed, and stored, posing significant security challenges. The currently available security protocols and encryption techniques are mostly based on software algorithms and pseudorandom number generators that are vulnerable to attacks. A true random number generator (TRNG) based on devices using stochastically physical phenomena has been proposed for auditory data encryption and trusted communication. In the current study, a Bi(2)O(2)Se-based memristive TRNG is demonstrated for security applications. Compared with traditional metal–insulator–metal based memristors, or other two-dimensional material-based memristors, the Bi(2)O(2)Se layer as electrode with non-van der Waals interface, high carrier mobility, air stability, extreme low thermal conductivity, as well as vertical surface resistive switching shows intrinsic stochasticity and complexity in a memristive true analogue/digital random number generation. Moreover, those analogue/digital random number generation processes are proved to be resilient for machine learning prediction.
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spelling pubmed-90486842023-03-25 Bi(2)O(2)Se-Based True Random Number Generator for Security Applications Liu, Bo Chang, Ying-Feng Li, Juzhe Liu, Xu Wang, Le An Verma, Dharmendra Liang, Hanyuan Zhu, Hui Zhao, Yudi Li, Lain-Jong Hou, Tuo-Hung Lai, Chao-Sung ACS Nano [Image: see text] The fast development of the Internet of things (IoT) promises to deliver convenience to human life. However, a huge amount of the data is constantly generated, transmitted, processed, and stored, posing significant security challenges. The currently available security protocols and encryption techniques are mostly based on software algorithms and pseudorandom number generators that are vulnerable to attacks. A true random number generator (TRNG) based on devices using stochastically physical phenomena has been proposed for auditory data encryption and trusted communication. In the current study, a Bi(2)O(2)Se-based memristive TRNG is demonstrated for security applications. Compared with traditional metal–insulator–metal based memristors, or other two-dimensional material-based memristors, the Bi(2)O(2)Se layer as electrode with non-van der Waals interface, high carrier mobility, air stability, extreme low thermal conductivity, as well as vertical surface resistive switching shows intrinsic stochasticity and complexity in a memristive true analogue/digital random number generation. Moreover, those analogue/digital random number generation processes are proved to be resilient for machine learning prediction. American Chemical Society 2022-03-25 2022-04-26 /pmc/articles/PMC9048684/ /pubmed/35333049 http://dx.doi.org/10.1021/acsnano.2c01784 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Liu, Bo
Chang, Ying-Feng
Li, Juzhe
Liu, Xu
Wang, Le An
Verma, Dharmendra
Liang, Hanyuan
Zhu, Hui
Zhao, Yudi
Li, Lain-Jong
Hou, Tuo-Hung
Lai, Chao-Sung
Bi(2)O(2)Se-Based True Random Number Generator for Security Applications
title Bi(2)O(2)Se-Based True Random Number Generator for Security Applications
title_full Bi(2)O(2)Se-Based True Random Number Generator for Security Applications
title_fullStr Bi(2)O(2)Se-Based True Random Number Generator for Security Applications
title_full_unstemmed Bi(2)O(2)Se-Based True Random Number Generator for Security Applications
title_short Bi(2)O(2)Se-Based True Random Number Generator for Security Applications
title_sort bi(2)o(2)se-based true random number generator for security applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048684/
https://www.ncbi.nlm.nih.gov/pubmed/35333049
http://dx.doi.org/10.1021/acsnano.2c01784
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