A New Scheme for Image Compression and Encryption Using ECIES, Henon Map, and AEGAN

TL;DR

This paper introduces a combined image compression and encryption scheme utilizing AEGAN for dimensionality reduction, Henon chaotic map for permutation, and public key encryption to secure image transmission over low-bandwidth channels.

Contribution

The novel integration of AEGAN, Henon map, and public key encryption provides a secure and efficient method for image compression and encryption.

Findings

High SSIM and PSNR values indicating good image quality

Reduced transmission time due to compression

Enhanced security through chaotic permutation

Abstract

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.