Image encryption using modified perfect shuffle-based bit level permutation and learning with errors based diffusion for IoT devices

Abstract

Image encryption is important for IoT devices which handle military, medical and other confidential images. In this paper, stream cipher based image diffusion is performed using tent chaotic map and block based encryption is done by taking four bytes every time to multiply the matrix formed using the secret key and error matrix. Pixel permutation is performed in two stages: block level pixel permutation and whole image permutation to resist the statistical attacks. Bit level permutation is performed with piecewise linear chaotic map using modified perfect shuffle technique to overcome differential attacks. Various statistical and differential analyses are performed on the encrypted image and the results obtained using these analyses convey its resistance to statistical and differential attacks.