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arXiv:2404.16271v1 Announce Type: new
Abstract: True random numbers play a critical role in secure cryptography. The generation relies on a stable and readily extractable entropy source. Here, from solution-processed structurally metastable 1T' MoTe2, we prove stable output of featureless, stochastic, and yet stable conductance noise at a broad temperature (down to 15 K) with minimal power consumption (down to 0.05 micro-W). Our characterizations and statistical analysis of the characteristics of the conductance noise suggest that the noise arises from the volatility of the stochastic polarization of the underlying ferroelectric dipoles in the 1T' MoTe2. Further, as proved in our experiments and indicated by our Monte Carlo simulation, the ferroelectric dipole polarization is a reliable entropy source with the stochastic polarization persistent and stable over time. Exploiting the conductance noise, we achieve the generation of true random numbers and demonstrate their use in common cryptographic applications, for example, password generation and data encryption. Besides, particularly, we show a privacy safeguarding approach to sensitive data that can be critical for the cryptography of neural networks. We believe our work will bring insights into the understanding of the metastable 1T' MoTe2 and, more importantly, underpin its great potential in secure cryptography.