Low-overhead TRNG based on MUX for cryptographic protection using multiphase sampling-Reference-Cited by-同舟云学术

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Low-overhead TRNG based on MUX for cryptographic protection using multiphase sampling

Published:2023-05-06 Issue:15 Volume:79 Page:17170-17186
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Yao Liang,Liang Huaguo,Lu Yingchun

Funder

the Major National Scientific Instrument and Equipment Development Project

the National Natural Science Foundation of China

he Science and Technology on Electronic Test & Measurement Laboratory of China

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-023-05349-2.pdf

Reference25 articles.

1. Jeong Y-S, Oh K-J, Cho C-K, Choi H-J (2020) Pseudo-random number generation using LSTMs. J Supercomput 76:8324–8342. https://doi.org/10.1007/s11227-020-03229-7

2. Chen TY, Ma Y, Lin JQ, Cao Y, Lv N, Jing JW (2021) A lightweight full entropy trng with on-chip entropy assurance. IEEE Trans Comput Aided Des Integr Circuits Syst 40:2431–2444. https://doi.org/10.1109/tcad.2021.3096464

3. Poudel B, Munir A (2018) Design and evaluation of a PVT variation-resistant TRNG circuit. In: 2018 IEEE 36th international conference on computer design (ICCD), pp 514–521. doi:https://doi.org/10.1109/iccd.2018.00083

4. Ma Y, Chen T, Lin J, Yang J, Jing J (2019) Entropy estimation for ADC sampling-based true random number generators. IEEE Trans Inf Forensics Secur 14:2887–2900. https://doi.org/10.1109/tifs.2019.2908798

5. Xu X, Liang H, Zhou K, Ma G, Huang Z, Yi M, Ni T, Lu Y (2018) An all-digital and jitter-quantizing true random number generator in SRAM-based FPGAs. In: 2018 IEEE 27th Asian test symposium (ATS), pp 59–62. doi:https://doi.org/10.1109/ats.2018.00022

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