An Image Encryption Algorithm Based on Compressive Sensing and M Sequence

In this article, a new image encryption algorithm based on compressive sensing (CS) and M sequence is proposed to decrease the image communication load and improve the security of image communication in the internet of things. Most of the available image encryption schemes are based on chaotic syste...

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Main Authors: Yuqiang Dou, Ming Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9286384/
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author Yuqiang Dou
Ming Li
author_facet Yuqiang Dou
Ming Li
author_sort Yuqiang Dou
collection DOAJ
description In this article, a new image encryption algorithm based on compressive sensing (CS) and M sequence is proposed to decrease the image communication load and improve the security of image communication in the internet of things. Most of the available image encryption schemes are based on chaotic systems to shuffle the image pixels. Before shuffling the image pixels, the random sequence, which is produced by a chaotic system, need to be sorted. This sorting operation is avoided by utilizing a modified linear feedback shift register (LFSR) state sequence. Then, the security of the proposed scheme is improved by combining CS with an improved 1D chaotic system, which is used to construct a measurement matrix. The computational complexity is reduced by the use of the improved 1D chaotic system. Simultaneously, the amount of image data is reduced. Simulation results and performance analyses demonstrate that the proposed encryption scheme can greatly reduce the amount of image data and has good security and robustness.
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spelling doaj.art-b452dcc71a404e6aab04c6fc9d0a3ec62022-12-21T17:25:43ZengIEEEIEEE Access2169-35362020-01-01822064622065710.1109/ACCESS.2020.30432409286384An Image Encryption Algorithm Based on Compressive Sensing and M SequenceYuqiang Dou0https://orcid.org/0000-0001-8430-0243Ming Li1https://orcid.org/0000-0003-3385-8364Big Data Engineering Laboratory for Teaching Resources and Assessment of Education Quality of Henan Province, Henan Normal University, Xinxiang, ChinaBig Data Engineering Laboratory for Teaching Resources and Assessment of Education Quality of Henan Province, Henan Normal University, Xinxiang, ChinaIn this article, a new image encryption algorithm based on compressive sensing (CS) and M sequence is proposed to decrease the image communication load and improve the security of image communication in the internet of things. Most of the available image encryption schemes are based on chaotic systems to shuffle the image pixels. Before shuffling the image pixels, the random sequence, which is produced by a chaotic system, need to be sorted. This sorting operation is avoided by utilizing a modified linear feedback shift register (LFSR) state sequence. Then, the security of the proposed scheme is improved by combining CS with an improved 1D chaotic system, which is used to construct a measurement matrix. The computational complexity is reduced by the use of the improved 1D chaotic system. Simultaneously, the amount of image data is reduced. Simulation results and performance analyses demonstrate that the proposed encryption scheme can greatly reduce the amount of image data and has good security and robustness.https://ieeexplore.ieee.org/document/9286384/M sequencecompressive sensingimage encryptionimproved 1D chaotic map
spellingShingle Yuqiang Dou
Ming Li
An Image Encryption Algorithm Based on Compressive Sensing and M Sequence
IEEE Access
M sequence
compressive sensing
image encryption
improved 1D chaotic map
title An Image Encryption Algorithm Based on Compressive Sensing and M Sequence
title_full An Image Encryption Algorithm Based on Compressive Sensing and M Sequence
title_fullStr An Image Encryption Algorithm Based on Compressive Sensing and M Sequence
title_full_unstemmed An Image Encryption Algorithm Based on Compressive Sensing and M Sequence
title_short An Image Encryption Algorithm Based on Compressive Sensing and M Sequence
title_sort image encryption algorithm based on compressive sensing and m sequence
topic M sequence
compressive sensing
image encryption
improved 1D chaotic map
url https://ieeexplore.ieee.org/document/9286384/
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