Open AccessA High‐Speed True Random Number Generator Based on a Cu x Te 1− x Diffusive Memristor
Author(s) -
Woo Kyung Seok,
Kim Jaehyun,
Han Janguk,
Choi Jin Myung,
Kim Woohyun,
Hwang Cheol Seong
Publication year - 2021
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202170057
Subject(s) - memristor , randomness , random number generation , generator (circuit theory) , statistical physics , computer science , physics , condensed matter physics , mathematics , power (physics) , algorithm , quantum mechanics , statistics
True Random Number Generators A true random number generator (TRNG) based on a Cu x Te 1‐x diffusive memristor is proposed in article number 2100062 by Cheol Seong Hwang and co‐workers. The intrinsic stochasticity of threshold switching behavior in the memristor contributes to the randomness of the TRNG system. As the importance of data security is increasing in the Internet of Things era, the adoption of diffusive memristors in TRNGs could play a crucial role.