A new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion

A new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion

Abstract A multi-image encryption scheme based on the fractional-order hyperchaotic system is designed in this paper. The chaotic characteristics of this system are analyzed by the phase diagram, Lyapunov exponent and bifurcation diagram. According to the analyses results, an interesting image encry...

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Autores principales: Xinyu Gao, Jiawu Yu, Santo Banerjee, Huizhen Yan, Jun Mou
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/9534382b60b245aaa2065afd49e0d23a
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spelling oai:doaj.org-article:9534382b60b245aaa2065afd49e0d23a2021-12-02T18:49:27ZA new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion10.1038/s41598-021-94748-72045-2322https://doaj.org/article/9534382b60b245aaa2065afd49e0d23a2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94748-7https://doaj.org/toc/2045-2322Abstract A multi-image encryption scheme based on the fractional-order hyperchaotic system is designed in this paper. The chaotic characteristics of this system are analyzed by the phase diagram, Lyapunov exponent and bifurcation diagram. According to the analyses results, an interesting image encryption algorithm is proposed. Multiple grayscale images are fused into a color image using different channels. Then, the color image is scrambled and diffused in order to obtain a more secure cipher image. The pixel confusion operation and diffusion operation are assisted by fractional hyperchaotic system. Experimental simulation and test results indicate that the devised multi-image encryption scheme can effectively encrypt multiple images, which increase the efficiency of image encryption and transmission, and have good security performance.Xinyu GaoJiawu YuSanto BanerjeeHuizhen YanJun MouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-21 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Xinyu Gao
Jiawu Yu
Santo Banerjee
Huizhen Yan
Jun Mou
A new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion
description Abstract A multi-image encryption scheme based on the fractional-order hyperchaotic system is designed in this paper. The chaotic characteristics of this system are analyzed by the phase diagram, Lyapunov exponent and bifurcation diagram. According to the analyses results, an interesting image encryption algorithm is proposed. Multiple grayscale images are fused into a color image using different channels. Then, the color image is scrambled and diffused in order to obtain a more secure cipher image. The pixel confusion operation and diffusion operation are assisted by fractional hyperchaotic system. Experimental simulation and test results indicate that the devised multi-image encryption scheme can effectively encrypt multiple images, which increase the efficiency of image encryption and transmission, and have good security performance.
format article
author Xinyu Gao
Jiawu Yu
Santo Banerjee
Huizhen Yan
Jun Mou
author_facet Xinyu Gao
Jiawu Yu
Santo Banerjee
Huizhen Yan
Jun Mou
author_sort Xinyu Gao
title A new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion
title_short A new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion
title_full A new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion
title_fullStr A new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion
title_full_unstemmed A new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion
title_sort new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/9534382b60b245aaa2065afd49e0d23a
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