A novel image encryption algorithm based on fractional order 5D cellular neural network and Fisher-Yates scrambling.

A novel image encryption algorithm based on fractional order 5D cellular neural network and Fisher-Yates scrambling.

This paper proposes a new chaotic image encryption algorithm. Firstly, an original phased composite chaotic map is used. The comparative study shows that the map cryptographic characteristics are better than the Logistic map, and the map is used as the controller of Fisher-Yates scrambling. Secondly...

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Bibliographic Details
Main Authors: Xingyuan Wang, Yining Su, Chao Luo, Chunpeng Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0236015
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spelling doaj-525b618f927f4e3e8aa70787bbf16f842021-03-03T21:56:50ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01157e023601510.1371/journal.pone.0236015A novel image encryption algorithm based on fractional order 5D cellular neural network and Fisher-Yates scrambling.Xingyuan WangYining SuChao LuoChunpeng WangThis paper proposes a new chaotic image encryption algorithm. Firstly, an original phased composite chaotic map is used. The comparative study shows that the map cryptographic characteristics are better than the Logistic map, and the map is used as the controller of Fisher-Yates scrambling. Secondly, with the higher complexity of the fractional-order five-dimensional cellular neural network system, it is used as a diffusion controller in the encryption process. And mix the secret key, mapping and plaintext, we can obtain the final ciphertext. Finally, the comparative experiments prove that the proposed algorithm improves the encryption efficiency, has good security performance, and can resist common attack methods.https://doi.org/10.1371/journal.pone.0236015
collection DOAJ
language English
format Article
sources DOAJ
author Xingyuan Wang
Yining Su
Chao Luo
Chunpeng Wang
spellingShingle Xingyuan Wang
Yining Su
Chao Luo
Chunpeng Wang
A novel image encryption algorithm based on fractional order 5D cellular neural network and Fisher-Yates scrambling.
PLoS ONE
author_facet Xingyuan Wang
Yining Su
Chao Luo
Chunpeng Wang
author_sort Xingyuan Wang
title A novel image encryption algorithm based on fractional order 5D cellular neural network and Fisher-Yates scrambling.
title_short A novel image encryption algorithm based on fractional order 5D cellular neural network and Fisher-Yates scrambling.
title_full A novel image encryption algorithm based on fractional order 5D cellular neural network and Fisher-Yates scrambling.
title_fullStr A novel image encryption algorithm based on fractional order 5D cellular neural network and Fisher-Yates scrambling.
title_full_unstemmed A novel image encryption algorithm based on fractional order 5D cellular neural network and Fisher-Yates scrambling.
title_sort novel image encryption algorithm based on fractional order 5d cellular neural network and fisher-yates scrambling.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description This paper proposes a new chaotic image encryption algorithm. Firstly, an original phased composite chaotic map is used. The comparative study shows that the map cryptographic characteristics are better than the Logistic map, and the map is used as the controller of Fisher-Yates scrambling. Secondly, with the higher complexity of the fractional-order five-dimensional cellular neural network system, it is used as a diffusion controller in the encryption process. And mix the secret key, mapping and plaintext, we can obtain the final ciphertext. Finally, the comparative experiments prove that the proposed algorithm improves the encryption efficiency, has good security performance, and can resist common attack methods.
url https://doi.org/10.1371/journal.pone.0236015
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