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Chaotic Image Encryption Using Hopfield and Hindmarsh–Rose Neurons Implemented on FPGA

Chaotic systems implemented by artificial neural networks are good candidates for data encryption. In this manner, this paper introduces the cryptographic application of the Hopfield and the Hindmarsh–Rose neurons. The contribution is focused on finding suitable coefficient values of the neurons to...

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Bibliografische gegevens
Gepubliceerd in:Sensors (Basel)
Hoofdauteurs: Tlelo-Cuautle, Esteban, Díaz-Muñoz, Jonathan Daniel, González-Zapata, Astrid Maritza, Li, Rui, León-Salas, Walter Daniel, Fernández, Francisco V., Guillén-Fernández, Omar, Cruz-Vega, Israel
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI 2020
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7085708/
https://ncbi.nlm.nih.gov/pubmed/32121310
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20051326
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