A remote sensing image encryption and compression scheme using novel hyperchaotic system and plaintext related random S-box

Remote sensing images, due to their substantial data volumes and stringent confidentiality requirements, present a significant challenge in the field of image encryption. In this paper, we propose a novel 2D discrete hyperchaotic system named the 2D-Hyperbolic Tangent-Cosecant Coupled Map (2D-HTCCM). Our nonlinear dynamic analysis demonstrates that 2D-HTCCM possesses exceptional dynamic characteristics, making it highly suitable for cryptosystem design. Building upon this, we developed a new image encryption and compression scheme that leverages the 2D-HTCCM along with a plaintext-related random S-box generation method. The proposed scheme begins by splitting the plain image into \(8\times 8\) $8\times 8$ blocks, followed by a Discrete Cosine Transform (DCT) on each block. A compression rate-controlled selection is then performed on the DCT coefficients along a zigzag path. Subsequently, we introduce a plaintext-related internal key generation method, which produces 10 sets of system parameters and initial values for the 2D-HTCCMs. These are used to perform permutation and quantization of the compressed DCT coefficients under a control sequence generated by 2D-HTCCM. The subsequent substitution and diffusion stages use randomly generated S-boxes and mask matrices to produce the final cipher image. Comprehensive security analysis and comparisons with existing state-of-the-art techniques reveal that our proposed cryptosystem offers superior security and compression performance, making it particularly well-suited for remote sensing images.