Medical Image Encryption based on Tangent Transform-based Sine-Chebyshev Map
Mehmet Demirtaş, Sabri Altunkaya · 2024
This paper proposes a new medical image encryption algorithm that can effectively encrypt medical images of various sizes and modalities. The encryption algorithm is mainly based on a newly developed one-dimensional chaotic map, derived by combining and then transforming the traditional sine and Chebyshev maps. Dynamical analyses show that the proposed map outperforms various 1D maps in terms of chaotic behavior and randomness. The designed medical image encryption algorithm utilizes permutation-diffusion operations, with chaotic parameters derived from the proposed highly chaotic 1D map to perform these operations. The algorithm was tested on various medical images with different sizes and modalities to evaluate its performance. The results from the simulations of security analysis demonstrate its effectiveness in encrypting medical images.