A fuzzy extraction based on soft decision for SRAM PUF

Qingxiao Zhou; Youyu Wu; Min Zhu; Wei Ge; Jinjiang Yang

doi:10.1117/12.2649482

14 October 2022 A fuzzy extraction based on soft decision for SRAM PUF

Qingxiao Zhou, Youyu Wu, Min Zhu, Wei Ge, Jinjiang Yang

Proceedings Volume 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022); 123432I (2022) https://doi.org/10.1117/12.2649482
Event: 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 2022, Qingdao, China

Abstract

SRAM PUF is already embedded in MCU as a traditional memory, it can be used as a PUF module without hardware modification and additional hardware overhead. However, due to different working environments such as temperature and voltage, the response sequence generated by SRAM PUF is not necessarily the same for the same excitation. Therefore, the resulting response sequence needs to be processed to get a unique stable key. In this paper, a soft decision fuzzy extractor scheme based on RM cascade code is proposed, and the simulation verification and reliability test are carried out by using the system simulation platform, and the final results show that the error rate is below 0.08, the reliability reaches more than 0.999999, the required SRAM number is reduced to 2464, which is reduced by 47.57％ compared with the traditional hard judgment [12], and the consistency index can reach 99.99 in the temperature range of 20℃~80℃.

Citation Download Citation

Qingxiao Zhou, Youyu Wu, Min Zhu, Wei Ge, and Jinjiang Yang "A fuzzy extraction based on soft decision for SRAM PUF", Proc. SPIE 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 123432I (14 October 2022); https://doi.org/10.1117/12.2649482

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