Harnessing physical entropy noise in structurally metastable 1T' molybdenum ditelluride for true random number generation
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arXiv
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| Autores principales: | , , , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866929572984913920 |
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| author | Liu, Yang Liu, Pengyu Wen, Yingyi Liang, Zihan Liu, Songwei Song, Lekai Pei, Jingfang Fan, Xiaoyue Ma, Teng Wang, Gang Gao, Shuo Pun, Kong-Pang Chen, Xiaolong Hu, Guohua |
| author_facet | Liu, Yang Liu, Pengyu Wen, Yingyi Liang, Zihan Liu, Songwei Song, Lekai Pei, Jingfang Fan, Xiaoyue Ma, Teng Wang, Gang Gao, Shuo Pun, Kong-Pang Chen, Xiaolong Hu, Guohua |
| contents | True random numbers are essential in various research and engineering problems. Their generation depends upon a robust physical entropy noise. Here, we present true random number generation by harnessing the conductance noise probed in structurally metastable 1T' molybdenum ditelluride (MoTe2). The noise, well-fitting a Poisson process, is proved a robust physical entropy noise at low and even cryogenic temperatures. Noise characteristic analysis suggests the noise may originate from the polarization variations of the underlying ferroelectric dipoles in 1T' MoTe2. We demonstrate the noise allows for true random number generation, enabling their use as seed for generating high-throughput secure random numbers exceeding 1 Mbit/s, appealing for practical applications in, for instance, cryptography where data security is now a severe issue. As an example, we show biometric information safeguarding in neural networks by using the random numbers as mask, proving a promising data security measure in big data and artificial intelligence. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_16271 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Harnessing physical entropy noise in structurally metastable 1T' molybdenum ditelluride for true random number generation Liu, Yang Liu, Pengyu Wen, Yingyi Liang, Zihan Liu, Songwei Song, Lekai Pei, Jingfang Fan, Xiaoyue Ma, Teng Wang, Gang Gao, Shuo Pun, Kong-Pang Chen, Xiaolong Hu, Guohua Cryptography and Security Materials Science True random numbers are essential in various research and engineering problems. Their generation depends upon a robust physical entropy noise. Here, we present true random number generation by harnessing the conductance noise probed in structurally metastable 1T' molybdenum ditelluride (MoTe2). The noise, well-fitting a Poisson process, is proved a robust physical entropy noise at low and even cryogenic temperatures. Noise characteristic analysis suggests the noise may originate from the polarization variations of the underlying ferroelectric dipoles in 1T' MoTe2. We demonstrate the noise allows for true random number generation, enabling their use as seed for generating high-throughput secure random numbers exceeding 1 Mbit/s, appealing for practical applications in, for instance, cryptography where data security is now a severe issue. As an example, we show biometric information safeguarding in neural networks by using the random numbers as mask, proving a promising data security measure in big data and artificial intelligence. |
| title | Harnessing physical entropy noise in structurally metastable 1T' molybdenum ditelluride for true random number generation |
| topic | Cryptography and Security Materials Science |
| url | https://arxiv.org/abs/2404.16271 |