Investigation of piecewise linear chaotic map as a diffusion model for image encryption

In this paper, Piecewise Linear Chaotic Map is investigated as a diffusion model to be used in image encryption. In the proposed model, first, the image is decomposed and mixed with a random number. Next, a shuffling engine shuffles it followed by confusion and diffusion based on Piecewise Linear Chaotic Map. Various test results i.e. key space, key sensitivity, correlation coefficient, Differential attacks and security analysis i.e. NIST randomness test, average Number of Pixels Change Rate ≥ 99.60% and Uniform Average Change Intensity ≥ 33.33% scores shows that the proposed encryption model is resistive against the known attacks like chosen and known plaintext attacks.