Enhanced secure lossless image steganography using invertible neural networks
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...
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Elsevier
2024-12-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157824003483 |
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| author | Weida Chen Weizhe Chen |
| author_facet | Weida Chen Weizhe Chen |
| author_sort | Weida Chen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-67a1ac2d6c934e1ba9fbf2e22b6ef71c |
| institution | Kabale University |
| issn | 1319-1578 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj-art-67a1ac2d6c934e1ba9fbf2e22b6ef71c2024-12-30T04:15:32ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782024-12-013610102259Enhanced secure lossless image steganography using invertible neural networksWeida Chen0Weizhe Chen1Guilin University of Electronic Technology, No. 1 Jinji Road, Qixing District, Guilin, 541000, Guangxi Zhuang Autonomous Region, ChinaGuangzhou University, 230 Wai Huan Xi Road, Guangzhou Higher Education Mega Center, Guangzhou, 510006, Guangdong Province, China; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S1319157824003483Image steganographyInvertible neural networkLossless recoveryKey security |
| spellingShingle | Weida Chen Weizhe Chen Enhanced secure lossless image steganography using invertible neural networks Journal of King Saud University: Computer and Information Sciences Image steganography Invertible neural network Lossless recovery Key security |
| title | Enhanced secure lossless image steganography using invertible neural networks |
| title_full | Enhanced secure lossless image steganography using invertible neural networks |
| title_fullStr | Enhanced secure lossless image steganography using invertible neural networks |
| title_full_unstemmed | Enhanced secure lossless image steganography using invertible neural networks |
| title_short | Enhanced secure lossless image steganography using invertible neural networks |
| title_sort | enhanced secure lossless image steganography using invertible neural networks |
| topic | Image steganography Invertible neural network Lossless recovery Key security |
| url | http://www.sciencedirect.com/science/article/pii/S1319157824003483 |
| work_keys_str_mv | AT weidachen enhancedsecurelosslessimagesteganographyusinginvertibleneuralnetworks AT weizhechen enhancedsecurelosslessimagesteganographyusinginvertibleneuralnetworks |