The low-power true random number generator based on carbon nanotube network can generate a random bitstream without any post-processing. Stochastic cycle-to-cycle variati...
Abstract:
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 ha...Show MoreMetadata
Abstract:
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.
The low-power true random number generator based on carbon nanotube network can generate a random bitstream without any post-processing. Stochastic cycle-to-cycle variati...
Published in: IEEE Access ( Volume: 9)