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

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.