Analysis of entropy source for random number generation based on optical PUFs

Kun Chen; Pidong Wang; Feng Huang; Xiao Leng; Yao Yao

doi:10.1063/5.0147153

Analysis of entropy source for random number generation based on optical PUFs

Kun Chen, Pidong Wang, Feng Huang, Xiao Leng, Yao Yao^*

^*Corresponding author for this work

China Academy of Engineering Physics

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

In this paper, we present an in-depth analysis for entropy source based on optical physical unclonable functions (PUFs). The randomness of speckle patterns is elaborated essentially according to its statistical characteristics. Various factors affecting the source of entropy have been analyzed in detail, including wavefront modulation, sensitivity, and universality of the optical PUF, and bit-depth settings of captured speckle patterns. In view of the above considerations, we demonstrate that the entropy source can achieve an ultra-high min-entropy (>0.985 bits/bit) while maintaining a high extraction rate of 75% and also verify its independent and identically distributed nature. These results provide an in-depth and comprehensive understanding of the developed entropy source and offer a firm foundation for its practical use.

Original language	English
Article number	174502
Journal	Journal of Applied Physics
Volume	133
Issue number	17
DOIs	https://doi.org/10.1063/5.0147153
Publication status	Published - 7 May 2023
Externally published	Yes

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Chen, K., Wang, P., Huang, F., Leng, X., & Yao, Y. (2023). Analysis of entropy source for random number generation based on optical PUFs. Journal of Applied Physics, 133(17), Article 174502. https://doi.org/10.1063/5.0147153

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abstract = "In this paper, we present an in-depth analysis for entropy source based on optical physical unclonable functions (PUFs). The randomness of speckle patterns is elaborated essentially according to its statistical characteristics. Various factors affecting the source of entropy have been analyzed in detail, including wavefront modulation, sensitivity, and universality of the optical PUF, and bit-depth settings of captured speckle patterns. In view of the above considerations, we demonstrate that the entropy source can achieve an ultra-high min-entropy (>0.985 bits/bit) while maintaining a high extraction rate of 75% and also verify its independent and identically distributed nature. These results provide an in-depth and comprehensive understanding of the developed entropy source and offer a firm foundation for its practical use.",

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AB - In this paper, we present an in-depth analysis for entropy source based on optical physical unclonable functions (PUFs). The randomness of speckle patterns is elaborated essentially according to its statistical characteristics. Various factors affecting the source of entropy have been analyzed in detail, including wavefront modulation, sensitivity, and universality of the optical PUF, and bit-depth settings of captured speckle patterns. In view of the above considerations, we demonstrate that the entropy source can achieve an ultra-high min-entropy (>0.985 bits/bit) while maintaining a high extraction rate of 75% and also verify its independent and identically distributed nature. These results provide an in-depth and comprehensive understanding of the developed entropy source and offer a firm foundation for its practical use.

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Analysis of entropy source for random number generation based on optical PUFs

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