Steganographer identification of JPEG image based on feature selection and graph convolutional representation
Aiming at the problem that the feature dimension of JPEG image steganalysis is too high, which leads to the complexity of distance calculation between users and a decrease in the identification performance of the steganographer, a method for steganographer recognition based on feature selection and...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2023-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2023128 |
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| _version_ | 1850210629318606848 |
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| author | Qianqian ZHANG Yi ZHANG Hao LI Yuanyuan MA Xiangyang LUO |
| author_facet | Qianqian ZHANG Yi ZHANG Hao LI Yuanyuan MA Xiangyang LUO |
| author_sort | Qianqian ZHANG |
| collection | DOAJ |
| description | Aiming at the problem that the feature dimension of JPEG image steganalysis is too high, which leads to the complexity of distance calculation between users and a decrease in the identification performance of the steganographer, a method for steganographer recognition based on feature selection and graph convolutional representation was proposed.Firstly, the steganalysis features of the user’s images were extracted, and the feature subset with highseparability was selected.Then, the users were represented as a graph, and the features of users were obtained by training the graph convolutional neural network.Finally, because inter-class separability and intra-class aggregation were considered, the features of users that could capture the differences between users were learned.For steganographers who use JPEG steganography, such as nsF5, UED, J-UNIWARD, and so on, to embed secret information in images, the proposed method can reduce the feature dimensions and computing.The identification accuracy of various payloads can reach more than 80.4%, and it has an obvious advantage at the low payload. |
| format | Article |
| id | doaj-art-67f5edb2a70c425095cb0781bb88d7d7 |
| institution | OA Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-67f5edb2a70c425095cb0781bb88d7d72025-08-20T02:09:44ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-07-014421822959384211Steganographer identification of JPEG image based on feature selection and graph convolutional representationQianqian ZHANGYi ZHANGHao LIYuanyuan MAXiangyang LUOAiming at the problem that the feature dimension of JPEG image steganalysis is too high, which leads to the complexity of distance calculation between users and a decrease in the identification performance of the steganographer, a method for steganographer recognition based on feature selection and graph convolutional representation was proposed.Firstly, the steganalysis features of the user’s images were extracted, and the feature subset with highseparability was selected.Then, the users were represented as a graph, and the features of users were obtained by training the graph convolutional neural network.Finally, because inter-class separability and intra-class aggregation were considered, the features of users that could capture the differences between users were learned.For steganographers who use JPEG steganography, such as nsF5, UED, J-UNIWARD, and so on, to embed secret information in images, the proposed method can reduce the feature dimensions and computing.The identification accuracy of various payloads can reach more than 80.4%, and it has an obvious advantage at the low payload.http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2023128steganalysis;steganographer identification;information hiding;JPEG image |
| spellingShingle | Qianqian ZHANG Yi ZHANG Hao LI Yuanyuan MA Xiangyang LUO Steganographer identification of JPEG image based on feature selection and graph convolutional representation Tongxin xuebao steganalysis;steganographer identification;information hiding;JPEG image |
| title | Steganographer identification of JPEG image based on feature selection and graph convolutional representation |
| title_full | Steganographer identification of JPEG image based on feature selection and graph convolutional representation |
| title_fullStr | Steganographer identification of JPEG image based on feature selection and graph convolutional representation |
| title_full_unstemmed | Steganographer identification of JPEG image based on feature selection and graph convolutional representation |
| title_short | Steganographer identification of JPEG image based on feature selection and graph convolutional representation |
| title_sort | steganographer identification of jpeg image based on feature selection and graph convolutional representation |
| topic | steganalysis;steganographer identification;information hiding;JPEG image |
| url | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2023128 |
| work_keys_str_mv | AT qianqianzhang steganographeridentificationofjpegimagebasedonfeatureselectionandgraphconvolutionalrepresentation AT yizhang steganographeridentificationofjpegimagebasedonfeatureselectionandgraphconvolutionalrepresentation AT haoli steganographeridentificationofjpegimagebasedonfeatureselectionandgraphconvolutionalrepresentation AT yuanyuanma steganographeridentificationofjpegimagebasedonfeatureselectionandgraphconvolutionalrepresentation AT xiangyangluo steganographeridentificationofjpegimagebasedonfeatureselectionandgraphconvolutionalrepresentation |