论文标题
使用Ecies，Henon Map和Aegan进行图像压缩和加密的新方案
A New Scheme for Image Compression and Encryption Using ECIES, Henon Map, and AEGAN
论文作者
论文摘要
在图像和其他多媒体数据的传输方面提供安全性已成为最重要的科学和实用问题之一。在本文中，提出了一种压缩和加密图像的方法，该方法可以安全地以低频带宽度数据传输通道传输图像。首先，使用自动编码生成对抗网络（AEGAN）模型，将图像映射到具有较低尺寸的潜在空间中的向量。在下一步中，使用公共密钥加密方法对获得的向量进行加密。在拟议的方法中，使用Henon Chaotic Map进行排列，这使信息传输更加安全。为了评估所提出的方案的结果，使用了三个标准SSIM，PSNR和执行时间。
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.
