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A visually secure image encryption scheme based on compressed sensing and Chebyshev-dynamics coupled map lattices in cloud environment

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Abstract

In this paper, a new spatiotemporal chaotic system based on Chebyshev-dynamically coupled map lattice (CDCML) is proposed. Various performance tests show that the CDCML spatiotemporal chaos system has good cryptographic characteristics and is suitable for image encryption and secure communication. With the development of cloud computing services, it is becoming increasingly common to use cloud servers to store private image information. How to protect the secure transmission and storage of images on cloud platforms is crucial. Therefore, in order to solve the problem of unauthorized access to images stored in the cloud, this paper proposes a visual security image encryption scheme combined with compressed sensing and LSB embedding in the cloud environment with the help of a new spatiotemporal chaotic system. First, Arnold algorithm is used to scramble the sparse plaintext image on the local client, and then, compressed sensing is used to compress it to obtain the secret image. Upload the ciphertext image to the cloud and perform secondary encryption on the cloud. By embedding ciphertext images into carrier images to obtain visually meaningful steganographic images, the visual security of the images is ensured. By analyzing the simulation performance of the encryption scheme, it can be determined that the algorithm has high security, good statistical performance, and good robustness.

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Data Availability Statement

This manuscript has associated data in a data repository. [Authors’ comment: The data that support the findings of this study are available from the corresponding author [Lin Teng], upon reasonable request.].

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (Nos: 61701070), China Postdoctoral Science Foundation (No: 2020M680933), the Doctoral Start-up Foundation of Liaoning Province (No: 2018540090).

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Authors and Affiliations

  1. School of Information Science and Technology, Dalian Maritime University, Dalian, 116026, China

    Qi Ren, Lin Teng & Xingyuan Wang

  2. Guangxi Key Lab of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, 541004, China

    Xingyuan Wang

  3. School of Information Engineering, Changan University, Xi’an, 710064, China

    Donghua Jiang

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  1. Qi Ren
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  4. Donghua Jiang
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Correspondence to Lin Teng.

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Ren, Q., Teng, L., Wang, X. et al. A visually secure image encryption scheme based on compressed sensing and Chebyshev-dynamics coupled map lattices in cloud environment. Eur. Phys. J. Plus 138, 436 (2023). https://doi.org/10.1140/epjp/s13360-023-04078-y

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