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.
翻译：提供图像和其他多媒体数据传输的安全性已成为最重要的科学和实际问题之一。本文提出了压缩和加密图像的方法,这种方法可以在低带宽数据传输渠道安全传输图像。首先,使用自动编码的基因对抗网络模型,将图像映射到低维潜伏空间的矢量。下一步,获取的矢量使用公用钥匙加密方法加密。在拟议方法中, Henon混乱地图用于变换,使信息传输更加安全。为了评估拟议方案的结果,使用了三个标准SSIM、PSNR、以及执行时间。
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