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Title: A novel true random number generator based on a stochastic diffusive memristor
Authors: Jiang, Hao
Belkin, Daniel
Savel'ev, Sergey
Lin, Siyan
Wang, Zhongrui
Li, Yunning
Joshi, Saumil
Midya, Rivu
Li, Can
Rao, Mingyi
Barnell, Mark
Wu, Qing
Yang, J. Joshua
Xia, Qiangfei
Issue Date: 2017
Publisher: Nature Publishing Group © The Authors
Citation: JIANG, H. ... et al, 2017. A novel true random number generator based on a stochastic diffusive memristor. Nature Communications, 8, 882.
Abstract: The intrinsic variability of switching behavior in memristors has been a major obstacle to their adoption as the next generation universal memory. On the other hand, this natural stochasticity can be valuable for hardware security applications. Here we propose and demonstrate a novel true random number generator (TRNG) utilizing the stochastic delay time of threshold switching in a Ag:SiO2 diffusive memristor, which exhibits evident advantages in scalability, circuit complexity and power consumption. The random bits generated by the diffusive memristor TRNG passed all 15 NIST randomness tests without any post-processing, a first for memristive-switching TRNGs. Based on nanoparticle dynamic simulation and analytical estimates, we attributed the stochasticity in delay time to the probabilistic process by which Ag particles detach from a Ag reservoir. This work paves the way for memristors in hardware security applications for the era of Internet of Things (IoT).
Description: This is an Open Access Article. It is published by Nature Publishing Group under the Creative Commons Attribution 4.0 International licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/
Sponsor: This work was supported in part by the U.S. Air Force Office for Scientific Research (AFOSR) (Grant No. FA9550-12-1-0038), the U.S. Air Force Research Laboratory (AFRL) (Grant No. FA8750-15-2-0044), and the National Science Foundation (NSF; ECCS-1253073). D.B. is supported by a Research Experience for Undergraduates (REU) supplement grant from NSF.
Version: Published
DOI: 10.1038/s41467-017-00869-x
URI: https://dspace.lboro.ac.uk/2134/26734
Publisher Link: https://doi.org/10.1038/s41467-017-00869-x
ISSN: 2041-1723
Appears in Collections:Published Articles (Physics)

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