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Single Neuronal Dynamical System in Self-Feedbacked Hopfield Networks and Its Application in Image Encryption
Image encryption is a confidential strategy to keep the information in digital images from being leaked. Due to excellent chaotic dynamic behavior, self-feedbacked Hopfield networks have been used to design image ciphers. However, Self-feedbacked Hopfield networks have complex structures, large comp...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069392/ https://www.ncbi.nlm.nih.gov/pubmed/33924429 http://dx.doi.org/10.3390/e23040456 |
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author | Xu, Xitong Chen, Shengbo |
author_facet | Xu, Xitong Chen, Shengbo |
author_sort | Xu, Xitong |
collection | PubMed |
description | Image encryption is a confidential strategy to keep the information in digital images from being leaked. Due to excellent chaotic dynamic behavior, self-feedbacked Hopfield networks have been used to design image ciphers. However, Self-feedbacked Hopfield networks have complex structures, large computational amount and fixed parameters; these properties limit the application of them. In this paper, a single neuronal dynamical system in self-feedbacked Hopfield network is unveiled. The discrete form of single neuronal dynamical system is derived from a self-feedbacked Hopfield network. Chaotic performance evaluation indicates that the system has good complexity, high sensitivity, and a large chaotic parameter range. The system is also incorporated into a framework to improve its chaotic performance. The result shows the system is well adapted to this type of framework, which means that there is a lot of room for improvement in the system. To investigate its applications in image encryption, an image encryption scheme is then designed. Simulation results and security analysis indicate that the proposed scheme is highly resistant to various attacks and competitive with some exiting schemes. |
format | Online Article Text |
id | pubmed-8069392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80693922021-04-26 Single Neuronal Dynamical System in Self-Feedbacked Hopfield Networks and Its Application in Image Encryption Xu, Xitong Chen, Shengbo Entropy (Basel) Article Image encryption is a confidential strategy to keep the information in digital images from being leaked. Due to excellent chaotic dynamic behavior, self-feedbacked Hopfield networks have been used to design image ciphers. However, Self-feedbacked Hopfield networks have complex structures, large computational amount and fixed parameters; these properties limit the application of them. In this paper, a single neuronal dynamical system in self-feedbacked Hopfield network is unveiled. The discrete form of single neuronal dynamical system is derived from a self-feedbacked Hopfield network. Chaotic performance evaluation indicates that the system has good complexity, high sensitivity, and a large chaotic parameter range. The system is also incorporated into a framework to improve its chaotic performance. The result shows the system is well adapted to this type of framework, which means that there is a lot of room for improvement in the system. To investigate its applications in image encryption, an image encryption scheme is then designed. Simulation results and security analysis indicate that the proposed scheme is highly resistant to various attacks and competitive with some exiting schemes. MDPI 2021-04-13 /pmc/articles/PMC8069392/ /pubmed/33924429 http://dx.doi.org/10.3390/e23040456 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xu, Xitong Chen, Shengbo Single Neuronal Dynamical System in Self-Feedbacked Hopfield Networks and Its Application in Image Encryption |
title | Single Neuronal Dynamical System in Self-Feedbacked Hopfield Networks and Its Application in Image Encryption |
title_full | Single Neuronal Dynamical System in Self-Feedbacked Hopfield Networks and Its Application in Image Encryption |
title_fullStr | Single Neuronal Dynamical System in Self-Feedbacked Hopfield Networks and Its Application in Image Encryption |
title_full_unstemmed | Single Neuronal Dynamical System in Self-Feedbacked Hopfield Networks and Its Application in Image Encryption |
title_short | Single Neuronal Dynamical System in Self-Feedbacked Hopfield Networks and Its Application in Image Encryption |
title_sort | single neuronal dynamical system in self-feedbacked hopfield networks and its application in image encryption |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069392/ https://www.ncbi.nlm.nih.gov/pubmed/33924429 http://dx.doi.org/10.3390/e23040456 |
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