Edge Computing: A lightweight scheme for secure transfer of telemedicine data based on the Fuchsian Vortex CML spatio-temporal chaotic system

Abstract In response to the privacy leakage risks faced by medical data transmission to the cloud in areas with weak networks, existing solutions often struggle to balance lightweight and strong security. This paper proposes a lightweight medical image secure transmission scheme based on edge computing: Firstly, Non-Subsampled Contourlet Transform (NSCT) is utilized at the terminal to fuse CT and MRI images; Then design a key generator based on the Fuchsian Vortex Coupled Map Lattice (FV-CML) spatio-temporal chaotic system; Furthermore, a lightweight encryption algorithm for Spiral-Peano curve 3D section fractal scrambling and Quaternionic chord bit-domain flip diffusion is proposed. After data desensitization is completed at the edge node, it is uploaded to the cloud. Experiments show that this algorithm can effectively resist common attacks, and the encryption takes only about 0.28 seconds, providing a practical solution for the secure transmission of medical data in weak network environments.