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

Internet

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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