Enhanced secure lossless image steganography using invertible neural networks

IF 5.2 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of King Saud University-Computer and Information Sciences Pub Date : 2024-12-01 DOI:10.1016/j.jksuci.2024.102259
Weida Chen , Weizhe Chen
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Abstract

Image steganography is a technique that embeds secret data into cover images in an imperceptible manner, ensuring that the original data can be recovered by the receiver without arousing suspicion. The key challenges currently faced by image steganography are capacity, invisibility, and security. We suggest an invertible neural network-based image steganography technique to concurrently address these three issues. To achieve better invisibility, we adopt a method that avoids the loss of information, thereby preventing ill-posed problems. The learning cost during image embedding can be reduced by only fitting part of the color channels in order to address the issue of high capacity. Additionally, we introduce the concept of a key to constrain the embedding process of the secret information, significantly enhancing the security of the hidden data. According to our experimental results, our method outperforms other image steganography algorithms on DIV2K, COCO, and ImageNet datasets, achieving perfect recovery of the secret images, its PSNR and SSIM can reach the theoretical maximum values.
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图像隐写术是一种将秘密数据以不易察觉的方式嵌入封面图像的技术,它能确保接收者在不引起怀疑的情况下恢复原始数据。图像隐写术目前面临的主要挑战是容量、隐蔽性和安全性。我们提出了一种基于可逆神经网络的图像隐写技术,以同时解决这三个问题。为了达到更好的隐蔽性,我们采用了一种避免信息丢失的方法,从而避免了不合理的问题。为了解决高容量问题,我们只拟合了部分颜色通道,从而降低了图像嵌入过程中的学习成本。此外,我们还引入了密钥的概念来约束秘密信息的嵌入过程,从而大大提高了隐藏数据的安全性。根据实验结果,我们的方法在 DIV2K、COCO 和 ImageNet 数据集上的表现优于其他图像隐写算法,实现了秘密图像的完美恢复,其 PSNR 和 SSIM 均达到了理论最大值。
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来源期刊
CiteScore
10.50
自引率
8.70%
发文量
656
审稿时长
29 days
期刊介绍: In 2022 the Journal of King Saud University - Computer and Information Sciences will become an author paid open access journal. Authors who submit their manuscript after October 31st 2021 will be asked to pay an Article Processing Charge (APC) after acceptance of their paper to make their work immediately, permanently, and freely accessible to all. The Journal of King Saud University Computer and Information Sciences is a refereed, international journal that covers all aspects of both foundations of computer and its practical applications.
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