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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...

詳細記述

保存先:
書誌詳細
出版年:Sensors (Basel)
主要な著者: 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
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2020
主題:
オンライン・アクセス: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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