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...

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Detalles Bibliográficos
Autores principales: Hu, Anqi, Gong, Xiaoxue, Guo, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453204/
https://www.ncbi.nlm.nih.gov/pubmed/37628183
http://dx.doi.org/10.3390/e25081153

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