Lightweight Medical Image Encrypting and Decrypting Algorithm Based on the 3D Intertwining Logistic Map

Abstract

The quantity of medical image data accessible for analysis is increasing because of advancements in telehealth services. Therefore, effective cryptographic solutions must be developed to prevent data manipulation by unauthorized users in insecure networks. This paper focuses on developing a lightweight symmetric cryptosystem algorithm with decreasing memory and power consumption at high speed for standard and medical images based on 3D intertwining logistic map-cosine (ILM-cosine), which is a powerful chaotic system in contemporary cryptography. The motivation of this paper is to reduce the memory space required for storing program data while minimizing execution time for lower implementation complexity in telehealth applications. Our proposed scheme consists of five main steps: ILM-cosine map key generation with histogram normalization, row rotation, column rotation, and exclusive-OR (XOR) logic operation. Various normal and medical images were used as samples for the simulation. The results showed that cipher images have good visual quality, high information entropy, large key space, and low computational complexity.