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Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function

Entropy is a measure of uncertainty or randomness. It is the foundation for almost all cryptographic systems. True random number generators (TRNGs) and physical unclonable functions (PUFs) are the silicon primitives to respectively harvest dynamic and static entropy to generate random bit streams. I...

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Detalles Bibliográficos
Autores principales: Cao, Yuan, Liu, Wanyi, Qin, Lan, Liu, Bingqiang, Chen, Shuai, Ye, Jing, Xia, Xianzhao, Wang, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689501/
https://www.ncbi.nlm.nih.gov/pubmed/36359655
http://dx.doi.org/10.3390/e24111566
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author Cao, Yuan
Liu, Wanyi
Qin, Lan
Liu, Bingqiang
Chen, Shuai
Ye, Jing
Xia, Xianzhao
Wang, Chao
author_facet Cao, Yuan
Liu, Wanyi
Qin, Lan
Liu, Bingqiang
Chen, Shuai
Ye, Jing
Xia, Xianzhao
Wang, Chao
author_sort Cao, Yuan
collection PubMed
description Entropy is a measure of uncertainty or randomness. It is the foundation for almost all cryptographic systems. True random number generators (TRNGs) and physical unclonable functions (PUFs) are the silicon primitives to respectively harvest dynamic and static entropy to generate random bit streams. In this survey paper, we present a systematic and comprehensive review of different state-of-the-art methods to harvest entropy from silicon-based devices, including the implementations, applications, and the security of the designs. Furthermore, we conclude the trends of the entropy source design to point out the current spots of entropy harvesting.
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spelling pubmed-96895012022-11-25 Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function Cao, Yuan Liu, Wanyi Qin, Lan Liu, Bingqiang Chen, Shuai Ye, Jing Xia, Xianzhao Wang, Chao Entropy (Basel) Review Entropy is a measure of uncertainty or randomness. It is the foundation for almost all cryptographic systems. True random number generators (TRNGs) and physical unclonable functions (PUFs) are the silicon primitives to respectively harvest dynamic and static entropy to generate random bit streams. In this survey paper, we present a systematic and comprehensive review of different state-of-the-art methods to harvest entropy from silicon-based devices, including the implementations, applications, and the security of the designs. Furthermore, we conclude the trends of the entropy source design to point out the current spots of entropy harvesting. MDPI 2022-10-30 /pmc/articles/PMC9689501/ /pubmed/36359655 http://dx.doi.org/10.3390/e24111566 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Cao, Yuan
Liu, Wanyi
Qin, Lan
Liu, Bingqiang
Chen, Shuai
Ye, Jing
Xia, Xianzhao
Wang, Chao
Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function
title Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function
title_full Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function
title_fullStr Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function
title_full_unstemmed Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function
title_short Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function
title_sort entropy sources based on silicon chips: true random number generator and physical unclonable function
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689501/
https://www.ncbi.nlm.nih.gov/pubmed/36359655
http://dx.doi.org/10.3390/e24111566
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