  Providing security in the transmission of images and other multimedia data
has become one of the most important scientific and practical issues. In this
paper, a method for compressing and encryption images is proposed, which can
safely transmit images in low-bandwidth data transmission channels. At first,
using the autoencoding generative adversarial network (AEGAN) model, the images
are mapped to a vector in the latent space with low dimensions. In the next
step, the obtained vector is encrypted using public key encryption methods. In
the proposed method, Henon chaotic map is used for permutation, which makes
information transfer more secure. To evaluate the results of the proposed
scheme, three criteria SSIM, PSNR, and execution time have been used.
