Steganography with High Reconstruction Robustness: Hiding of Encrypted Secret Images
As one of the important methods to protect information security, steganography can ensure the security of data in the process of information transmission, which has attracted much attention in the information security community. However, many current steganography algorithms are not sufficiently res...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/16/2934 |
| _version_ | 1797409055957843968 |
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| author | Xishun Zhu Zhengliang Lai Nanrun Zhou Jianhua Wu |
| author_facet | Xishun Zhu Zhengliang Lai Nanrun Zhou Jianhua Wu |
| author_sort | Xishun Zhu |
| collection | DOAJ |
| description | As one of the important methods to protect information security, steganography can ensure the security of data in the process of information transmission, which has attracted much attention in the information security community. However, many current steganography algorithms are not sufficiently resistant to recent steganalysis algorithms, such as deep learning-based steganalysis algorithms. In this manuscript, a new steganography algorithm, based on residual networks and pixel shuffle, is proposed, which combines image encryption and image hiding, named Resen-Hi-Net, an algorithm that first encrypts a secret image and then hides it in a carrier image to produce a meaningful container image. The proposed Resen-Hi-Net has the advantages of both image encryption and image hiding. The experimental results showed that the proposed Resen-Hi-Net could realize both image encryption and image hiding; the visual container image quality was as high as 40.19 dB on average in PSNR to reduce the possibility of being attacked, and the reconstructed secret image quality was also good enough (34.39 dB on average in PSNR). In addition, the proposed Resen-Hi-Net has a strong ability to resist destructive attacks and various steganographic analyses. |
| first_indexed | 2024-03-09T04:08:46Z |
| format | Article |
| id | doaj.art-7f63cae735464cb0b468d24e00fb9987 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T04:08:46Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-7f63cae735464cb0b468d24e00fb99872023-12-03T14:03:31ZengMDPI AGMathematics2227-73902022-08-011016293410.3390/math10162934Steganography with High Reconstruction Robustness: Hiding of Encrypted Secret ImagesXishun Zhu0Zhengliang Lai1Nanrun Zhou2Jianhua Wu3School of Advanced Manufacturing, Nanchang University, Nanchang 330031, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330031, ChinaSchool of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330031, ChinaAs one of the important methods to protect information security, steganography can ensure the security of data in the process of information transmission, which has attracted much attention in the information security community. However, many current steganography algorithms are not sufficiently resistant to recent steganalysis algorithms, such as deep learning-based steganalysis algorithms. In this manuscript, a new steganography algorithm, based on residual networks and pixel shuffle, is proposed, which combines image encryption and image hiding, named Resen-Hi-Net, an algorithm that first encrypts a secret image and then hides it in a carrier image to produce a meaningful container image. The proposed Resen-Hi-Net has the advantages of both image encryption and image hiding. The experimental results showed that the proposed Resen-Hi-Net could realize both image encryption and image hiding; the visual container image quality was as high as 40.19 dB on average in PSNR to reduce the possibility of being attacked, and the reconstructed secret image quality was also good enough (34.39 dB on average in PSNR). In addition, the proposed Resen-Hi-Net has a strong ability to resist destructive attacks and various steganographic analyses.https://www.mdpi.com/2227-7390/10/16/2934steganographyimage encryptionresidualpixel shufflesteganalysis |
| spellingShingle | Xishun Zhu Zhengliang Lai Nanrun Zhou Jianhua Wu Steganography with High Reconstruction Robustness: Hiding of Encrypted Secret Images Mathematics steganography image encryption residual pixel shuffle steganalysis |
| title | Steganography with High Reconstruction Robustness: Hiding of Encrypted Secret Images |
| title_full | Steganography with High Reconstruction Robustness: Hiding of Encrypted Secret Images |
| title_fullStr | Steganography with High Reconstruction Robustness: Hiding of Encrypted Secret Images |
| title_full_unstemmed | Steganography with High Reconstruction Robustness: Hiding of Encrypted Secret Images |
| title_short | Steganography with High Reconstruction Robustness: Hiding of Encrypted Secret Images |
| title_sort | steganography with high reconstruction robustness hiding of encrypted secret images |
| topic | steganography image encryption residual pixel shuffle steganalysis |
| url | https://www.mdpi.com/2227-7390/10/16/2934 |
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