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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Published inEntropy (Basel, Switzerland) Vol. 24; no. 11; p. 1566
Main Authors Cao, Yuan, Liu, Wanyi, Qin, Lan, Liu, Bingqiang, Chen, Shuai, Ye, Jing, Xia, Xianzhao, Wang, Chao
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 30.10.2022
MDPI
Subjects
Algorithms
Analysis
Computer peripherals
Cryptography
Entropy
Entropy (Information theory)
Heat
information security
Manufacturing
PUF
Random number generators
Random numbers
Random variables
Review
Semiconductors
Silicon
State-of-the-art reviews
TRNG
China
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
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ObjectType-Review-1
ISSN:1099-4300
1099-4300
DOI:10.3390/e24111566