Selecting Optimal Submatrix for Syndrome-Trellis Codes (STCs)-Based Steganography With Segmentation
Syndrome-Trellis Codes (STC), as the de facto state-of-the-art steganography framework, has drawn huge attention recently. However, the original STC merely developed with the general form of cover and message, and almost all the subsequent improvements for STC focused on the cover selection and desi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9049427/ |
| _version_ | 1818921164014092288 |
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| author | Xueyuan Zhang Rangding Wang Diqun Yan Li Dong Yuzhen Lin |
| author_facet | Xueyuan Zhang Rangding Wang Diqun Yan Li Dong Yuzhen Lin |
| author_sort | Xueyuan Zhang |
| collection | DOAJ |
| description | Syndrome-Trellis Codes (STC), as the de facto state-of-the-art steganography framework, has drawn huge attention recently. However, the original STC merely developed with the general form of cover and message, and almost all the subsequent improvements for STC focused on the cover selection and design of the distortion cost function. How to select the optimal submatrix by the features for the given cover and message is an important issue and requires to be solved urgently. In this work, we propose to divide both the cover and message into segments and embed each message segment into its optimally matched cover segment. We name the proposed method as Segment-STC steganography. Specifically, by investigating the features of the submatrix used in STC, we first select the optimal submatrix, which could effectively reduce the number of distorted elements during the embedding. Then, the given cover and message will be split into a series of segments. Each message segment is adaptively matched with an optimal submatrix. We conduct the experiments on both the benchmark BOSS dataset and our collected on-line songs dataset. The experimental results show that, compared with the original STC, our method could effectively reduce the distortion and improve the undetectability of the stego. |
| first_indexed | 2024-12-20T01:33:17Z |
| format | Article |
| id | doaj.art-de49018cbbad42c0a035e54b499560ff |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T01:33:17Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-de49018cbbad42c0a035e54b499560ff2022-12-21T19:58:04ZengIEEEIEEE Access2169-35362020-01-018617546176610.1109/ACCESS.2020.29838699049427Selecting Optimal Submatrix for Syndrome-Trellis Codes (STCs)-Based Steganography With SegmentationXueyuan Zhang0https://orcid.org/0000-0001-5617-1640Rangding Wang1https://orcid.org/0000-0003-2576-8705Diqun Yan2https://orcid.org/0000-0002-5241-7276Li Dong3https://orcid.org/0000-0003-2002-8249Yuzhen Lin4College of Information Science and Engineering, Ningbo University, Ningbo, ChinaCollege of Information Science and Engineering, Ningbo University, Ningbo, ChinaCollege of Information Science and Engineering, Ningbo University, Ningbo, ChinaCollege of Information Science and Engineering, Ningbo University, Ningbo, ChinaCollege of Information Science and Engineering, Ningbo University, Ningbo, ChinaSyndrome-Trellis Codes (STC), as the de facto state-of-the-art steganography framework, has drawn huge attention recently. However, the original STC merely developed with the general form of cover and message, and almost all the subsequent improvements for STC focused on the cover selection and design of the distortion cost function. How to select the optimal submatrix by the features for the given cover and message is an important issue and requires to be solved urgently. In this work, we propose to divide both the cover and message into segments and embed each message segment into its optimally matched cover segment. We name the proposed method as Segment-STC steganography. Specifically, by investigating the features of the submatrix used in STC, we first select the optimal submatrix, which could effectively reduce the number of distorted elements during the embedding. Then, the given cover and message will be split into a series of segments. Each message segment is adaptively matched with an optimal submatrix. We conduct the experiments on both the benchmark BOSS dataset and our collected on-line songs dataset. The experimental results show that, compared with the original STC, our method could effectively reduce the distortion and improve the undetectability of the stego.https://ieeexplore.ieee.org/document/9049427/STC frameworkoptimal submatrixsegmentation |
| spellingShingle | Xueyuan Zhang Rangding Wang Diqun Yan Li Dong Yuzhen Lin Selecting Optimal Submatrix for Syndrome-Trellis Codes (STCs)-Based Steganography With Segmentation IEEE Access STC framework optimal submatrix segmentation |
| title | Selecting Optimal Submatrix for Syndrome-Trellis Codes (STCs)-Based Steganography With Segmentation |
| title_full | Selecting Optimal Submatrix for Syndrome-Trellis Codes (STCs)-Based Steganography With Segmentation |
| title_fullStr | Selecting Optimal Submatrix for Syndrome-Trellis Codes (STCs)-Based Steganography With Segmentation |
| title_full_unstemmed | Selecting Optimal Submatrix for Syndrome-Trellis Codes (STCs)-Based Steganography With Segmentation |
| title_short | Selecting Optimal Submatrix for Syndrome-Trellis Codes (STCs)-Based Steganography With Segmentation |
| title_sort | selecting optimal submatrix for syndrome trellis codes stcs based steganography with segmentation |
| topic | STC framework optimal submatrix segmentation |
| url | https://ieeexplore.ieee.org/document/9049427/ |
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