Photo-generated charge-driven reconfigurable physical unclonable function for high-speed true random number generation

Random number generation serves as a core security primitive in cryptography, IoT security, and related fields. Conventional pseudo-random number generators are vulnerable to algorithmic prediction, while true random number generators (TRNGs) based on static optical physical unclonable functions (PUFs) suffer from bottlenecks such as the lack of reconfigurability. This work proposes a dynamic reconfigurable optical PUF driven by photo-generated charges, facilitating dynamic updates of the entropy source. Experimental results demonstrate that the proposed PUF exhibits stable reconfiguration over multiple cycles, generating speckle patterns characterized by both spatial and temporal randomness. Furthermore, a TRNG based on this reconfigurable PUF is constructed, achieving a random number generation rate exceeding 65 Gbit/s at an image acquisition rate of 12.5 kHz. The generated random numbers successfully pass both NIST and Dieharder tests. This study provides a novel implementation scheme for dynamically reconfigurable physical entropy sources, advancing the integrated and secure practical deployment of optical PUFs and TRNGs.

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Publication Details

Journal
Optics & Laser Technology
Published
2026-10-14
DOI
https://doi.org/10.1016/j.optlastec.2026.116684
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Photo-generated charge-driven reconfigurable physical unclonable function for high-speed true random number generation

Feiliang Chen, Ruijie Hui, Haonian Fang, Jian Zhang et al.
Optics & Laser Technology
Physical Unclonable Functions (PUFs) and Hardware Security
article

Photo-generated charge-driven reconfigurable physical unclonable function for high-speed true random number generation

Feiliang Chen, Ruijie Hui, Haonian Fang, Jian Zhang, Mo Li
article en

Abstract

Random number generation serves as a core security primitive in cryptography, IoT security, and related fields. Conventional pseudo-random number generators are vulnerable to algorithmic prediction, while true random number generators (TRNGs) based on static optical physical unclonable functions (PUFs) suffer from bottlenecks such as the lack of reconfigurability. This work proposes a dynamic reconfigurable optical PUF driven by photo-generated charges, facilitating dynamic updates of the entropy source. Experimental results demonstrate that the proposed PUF exhibits stable reconfiguration over multiple cycles, generating speckle patterns characterized by both spatial and temporal randomness. Furthermore, a TRNG based on this reconfigurable PUF is constructed, achieving a random number generation rate exceeding 65 Gbit/s at an image acquisition rate of 12.5 kHz. The generated random numbers successfully pass both NIST and Dieharder tests. This study provides a novel implementation scheme for dynamically reconfigurable physical entropy sources, advancing the integrated and secure practical deployment of optical PUFs and TRNGs.

Optics & Laser TechnologyVol. 204
University of Electronic Science and Technology of China (CN)
Ministry of Science and Technology of the People's Republic of China, National University's Basic Research Foundation of China
Openalex Percentile: Top 9%
Physical Unclonable Functions (PUFs) and Hardware Security
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