An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing
With the development of mobile communication network, especially 5G today and 6G in the future, the security and privacy of digital images are important in network applications. Meanwhile, high resolution images will take up a lot of bandwidth and storage space in the cloud applications. Facing the...
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MDPI AG
2021-01-01
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Online Access: | https://www.mdpi.com/1424-8220/21/3/758 |
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author | Zhen Li Changgen Peng Weijie Tan Liangrong Li |
author_facet | Zhen Li Changgen Peng Weijie Tan Liangrong Li |
author_sort | Zhen Li |
collection | DOAJ |
description | With the development of mobile communication network, especially 5G today and 6G in the future, the security and privacy of digital images are important in network applications. Meanwhile, high resolution images will take up a lot of bandwidth and storage space in the cloud applications. Facing the demands, an efficient and secure plaintext-related chaotic image encryption scheme is proposed based on compressive sensing for achieving the compression and encryption simultaneously. In the proposed scheme, the internal keys for controlling the whole process of compression and encryption is first generated by plain image and initial key. Subsequently, discrete wavelets transform is used in order to convert the plain image to the coefficient matrix. After that, the permutation processing, which is controlled by the two-dimensional Sine improved Logistic iterative chaotic map (2D-SLIM), was done on the coefficient matrix in order to make the matrix energy dispersive. Furthermore, a plaintext related compressive sensing has been done utilizing a measurement matrix generated by 2D-SLIM. In order to make the cipher image lower correlation and distribute uniform, measurement results quantified the 0∼255 and the permutation and diffusion operation is done under the controlling by two-dimensional Logistic-Sine-coupling map (2D-LSCM). Finally, some common compression and security performance analysis methods are used to test our scheme. The test and comparison results shown in our proposed scheme have both excellent security and compression performance when compared with other recent works, thus ensuring the digital image application in the network. |
first_indexed | 2024-03-09T03:52:23Z |
format | Article |
id | doaj.art-4de363a304c746f1965d9553162cec96 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-09T03:52:23Z |
publishDate | 2021-01-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-4de363a304c746f1965d9553162cec962023-12-03T14:25:41ZengMDPI AGSensors1424-82202021-01-0121375810.3390/s21030758An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive SensingZhen Li0Changgen Peng1Weijie Tan2Liangrong Li3College of Computer Science and Technology, State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, ChinaCollege of Computer Science and Technology, State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, ChinaCollege of Computer Science and Technology, State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, ChinaCollege of Big Data and Information Engineering, Guizhou University, Guiyang 550025, ChinaWith the development of mobile communication network, especially 5G today and 6G in the future, the security and privacy of digital images are important in network applications. Meanwhile, high resolution images will take up a lot of bandwidth and storage space in the cloud applications. Facing the demands, an efficient and secure plaintext-related chaotic image encryption scheme is proposed based on compressive sensing for achieving the compression and encryption simultaneously. In the proposed scheme, the internal keys for controlling the whole process of compression and encryption is first generated by plain image and initial key. Subsequently, discrete wavelets transform is used in order to convert the plain image to the coefficient matrix. After that, the permutation processing, which is controlled by the two-dimensional Sine improved Logistic iterative chaotic map (2D-SLIM), was done on the coefficient matrix in order to make the matrix energy dispersive. Furthermore, a plaintext related compressive sensing has been done utilizing a measurement matrix generated by 2D-SLIM. In order to make the cipher image lower correlation and distribute uniform, measurement results quantified the 0∼255 and the permutation and diffusion operation is done under the controlling by two-dimensional Logistic-Sine-coupling map (2D-LSCM). Finally, some common compression and security performance analysis methods are used to test our scheme. The test and comparison results shown in our proposed scheme have both excellent security and compression performance when compared with other recent works, thus ensuring the digital image application in the network.https://www.mdpi.com/1424-8220/21/3/758image encryptioncompressive sensingplaintext relatedchaotic system |
spellingShingle | Zhen Li Changgen Peng Weijie Tan Liangrong Li An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing Sensors image encryption compressive sensing plaintext related chaotic system |
title | An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing |
title_full | An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing |
title_fullStr | An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing |
title_full_unstemmed | An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing |
title_short | An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing |
title_sort | efficient plaintext related chaotic image encryption scheme based on compressive sensing |
topic | image encryption compressive sensing plaintext related chaotic system |
url | https://www.mdpi.com/1424-8220/21/3/758 |
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