Racing APUF: A Novel APUF against Machine Learning Attack with High Reliability

Li, Zheng; Zhu, Lijia; Huang, Minghui; Chen, Ziheng; Chen, Shuai; Li, Bing

doi:10.1109/siprocess.2019.8868387

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2022

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“…In other words, static entropy that is extracted from these manufacturing variations are stable once the device is completely fabricated. Physical unclonable function (PUF) takes advantage of this feature to extract the static entropy from uncontrollable and unpredictable variations in the semiconductor manufacturing process and convert it into a binary stream with a predetermined length, which can be used as a key or ID [ 10 , 11 , 12 , 13 , 14 ]. PUF provides a root of trust (RoT) at the hardware layer.…”

Section: Introductionmentioning

confidence: 99%

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

Cao

Liu

Lan

et al. 2022

Entropy

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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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