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Deep Learning-Based Security Verification for a Random Number Generator Using White Chaos

In this paper, a deep learning (DL)-based predictive analysis is proposed to analyze the security of a non-deterministic random number generator (NRNG) using white chaos. In particular, the temporal pattern attention (TPA)-based DL model is employed to learn and analyze the data from both stages of...

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Detalles Bibliográficos
Autores principales:	Li, Cai, Zhang, Jianguo, Sang, Luxiao, Gong, Lishuang, Wang, Longsheng, Wang, Anbang, Wang, Yuncai
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597277/ https://www.ncbi.nlm.nih.gov/pubmed/33286903 http://dx.doi.org/10.3390/e22101134

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