An All-Digital and Jitter-Quantizing True Random Number Generator in SRAM-Based FPGAs
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8566099/8567389/08567411.pdf?arnumber=8567411
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Low-overhead TRNG based on MUX for cryptographic protection using multiphase sampling;The Journal of Supercomputing;2023-05-06
2. A Lightweight M_TRNG Design based on MUX Cell Entropy using Multiphase Sampling;2022 Asian Hardware Oriented Security and Trust Symposium (AsianHOST);2022-12-14
3. A Low-overhead M_TRNG for Cryptographic Protection using Multiphase Sampling;2022-10-21
4. A Low-Complexity Method to Address Process Variability in True Random Number Generators based on Digital Nonlinear Oscillators;2022 IEEE International Symposium on Circuits and Systems (ISCAS);2022-05-28
5. A Stochastic Algorithm to Design Min-Entropy Tuning Controllers for True Random Number Generators;IEEE Transactions on Circuits and Systems I: Regular Papers;2022-05
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