Reconstruction of Chaotic Grayscale Image Encryption Based on Deep Learning

Chaotic encryption is widely used in the field of image encryption due to its initial value sensitivity, pseudo-randomness, and unpredictability of motion trajectories. In this paper, we propose to attack Lorenz chaotic encrypted system of grayscale images by the deep learning method via Residual Networks which contains skip connection and can automatically analyze the relationships of plaintext a...