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A novel true random number generator based on a stochastic diffusive memristor
journal contribution
posted on 2017-09-28, 15:47 authored by Hao Jiang, Daniel Belkin, Sergey SavelievSergey Saveliev, Siyan Lin, Zhongrui Wang, Yunning Li, Saumil Joshi, Rivu Midya, Can Li, Mingyi Rao, Mark Barnell, Qing Wu, J. Joshua Yang, Qiangfei XiaThe 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).
Funding
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.
History
School
- Science
Department
- Physics
Published in
Nature CommunicationsVolume
8Citation
JIANG, H. ... et al, 2017. A novel true random number generator based on a stochastic diffusive memristor. Nature Communications, 8, 882.Publisher
Nature Publishing Group © The AuthorsVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/Acceptance date
2017-08-01Publication date
2017-10-12Notes
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/ISSN
2041-1723eISSN
2041-1723Publisher version
Language
- en