Low-Power True Random Number Generator Based on Randomly Distributed Carbon Nanotube Networks

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Although the intrinsic variability in nanoelectronic devices has been a major obstacle and has prevented mass production, this natural stochasticity can be an asset in hardware security applications. Herein, we demonstrate a true random number generator (TRNG) based on stochastic carrier trapping/detrapping processes in randomly distributed carbon nanotube networks. The bitstreams collected from the TRNG passed all the National Institute of Standards and Technology randomness tests without post-processing. The random bit generated in this study is sufficient for encryption applications, particularly those related to the Internet of Things and edge computing, which require significantly lower power consumption.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2021-06
Language
English
Article Type
Article
Citation

IEEE ACCESS, v.9, pp.91341 - 91346

ISSN
2169-3536
DOI
10.1109/ACCESS.2021.3091491
URI
http://hdl.handle.net/10203/286478
Appears in Collection
EE-Journal Papers(저널논문)
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