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

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 n...

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Bibliographic Details
Main Authors: Esteban Tlelo-Cuautle, Jonathan Daniel Díaz-Muñoz, Astrid Maritza González-Zapata, Rui Li, Walter Daniel León-Salas, Francisco V. Fernández, Omar Guillén-Fernández, Israel Cruz-Vega
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
chaos
hopfield neuron
hindmarsh–rose neuron
lyapunov exponent
image encryption
correlation
fpga
Online Access:https://www.mdpi.com/1424-8220/20/5/1326

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