Computer Science > Cryptography and Security
[Submitted on 25 Apr 2024 (v1), last revised 29 Jul 2024 (this version, v2)]
Title:True random number generation using 1T' molybdenum ditelluride
View PDFAbstract:True random numbers are essential for scientific research and various engineering problems. Their generation, however, depends on a reliable entropy source. Here, we present true random number generation using the conductance noise probed from structurally metastable 1T' MoTe2 prepared via electrochemical exfoliation. The noise, fitting a Poisson process, is a robust entropy source capable of remaining stable even at 15 K. Noise spectral density and statistical time-lag suggest the noise originates from the random polarization of the ferroelectric dipoles in 1T' MoTe2. Using a simple circuit, the noise allows true random number generation, enabling their use as the seed for high-throughput secure random number generation over 1 Mbit/s, appealing for applications such as cryptography where secure data protection has now become severe. Particularly, we demonstrate safeguarding key biometric information in neural networks using the random numbers, proving a critical data privacy measure in big data and artificial intelligence.
Submission history
From: Guohua Hu [view email][v1] Thu, 25 Apr 2024 01:01:06 UTC (2,508 KB)
[v2] Mon, 29 Jul 2024 15:57:00 UTC (3,382 KB)
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