A novel true random number generator based on a stochastic diffusive memristor
By Hao Jiang, Daniel Belkin, S. Savel’ev, Siyan Lin, Zhongrui Wang, Yunning Li, S. Joshi, Rivu Midya, Can Li, Mingyi Rao and 4 more. Nature Communications, 2017
390 citations recorded by the source corpus.
The intrinsic variability of switching behavior in memristors has been a major obstacle to their adoption as the next generation of 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 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 true random number generator pass all 15 NIST randomness tests without any post-processing, a first for memristive-switching true random number generators. Based on nanoparticle dynamic simulation and analytical estimates, we attribute 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 the Internet of Things. Memristors can switch between high and low electrical-resistance states, but the switching behaviour can be unpredictable. Here, the authors harness this unpredictability to develop a memristor-based true random number generator that uses the stochastic delay time of threshold switching
Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/718b82a08c124bf96cbf9606752970a54dc5270b
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In Cellular and Molecular Neuroscience
In Electrical and Electronic Engineering
- J. Joshua Yang
- Qiangfei Xia
- Keum Do Kim
- Abu Sebastian
- C. S. Hwang
- M. Le Gallo
- Zhongrui Wang
- Huaqiang Wu
Citations in the corpus
- Memristive technologies for data storage, computation, encryption, and radio-frequency communication (2022, background): “Memristivedevicesexhibitingvolatilere-sistiveswitchingcouldbeagoodalternative waytoincreaseendurancebecausetheatomic rearrangements produced by the stress are volatile ( 102 ), and also because they require simpler processing circuitry.”
- An artificial nociceptor based on a diffusive memristor (2018, methodology): “…devices, is essentially a volatile threshold switching device with switching dynamics that has enabled direct emulation of biological synapse 55 and neurons, and can be utilized for other applications such as true random number generators 56 and physical unclonable functionalities as well.”