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Joint Encryption Model Based on a Randomized Autoencoder Neural Network and Coupled Chaos Mapping
Following an in-depth analysis of one-dimensional chaos, a randomized selective autoencoder neural network (AENN), and coupled chaotic mapping are proposed to address the short period and low complexity of one-dimensional chaos. An improved method is proposed for synchronizing keys during the transm...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453204/ https://www.ncbi.nlm.nih.gov/pubmed/37628183 http://dx.doi.org/10.3390/e25081153 |