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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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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7597277/ https://ncbi.nlm.nih.gov/pubmed/33286903 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22101134 |
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