https://doi.org/10.1140/epjp/s13360-023-04078-y
Regular Article
A visually secure image encryption scheme based on compressed sensing and Chebyshev-dynamics coupled map lattices in cloud environment
1
School of Information Science and Technology, Dalian Maritime University, 116026, Dalian, China
2
Guangxi Key Lab of Multi-Source Information Mining and Security, Guangxi Normal University, 541004, Guilin, China
3
School of Information Engineering, Changan University, 710064, Xi’an, China
Received:
5
February
2023
Accepted:
9
May
2023
Published online:
22
May
2023
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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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
