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Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function
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论文类型：期刊论文
第一作者：Y. Cao
通讯作者：C. Wang*
合写作者：W. Liu, L. Qin, B. Liu, S. Chen, J. Ye, X. Xia
发表刊物：Entropy
收录刊物：SCI
学科门类：工学
一级学科：电子科学与技术
文献类型：J
卷号：24
期号：11
DOI码：10.3390/e24111566
发表时间：2022-10-30
影响因子：2.73
摘要：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