Recognition of PQ stego images based on identifiable statistical feature
A PQ (perturbed quantization) stego images recognition algorithm is proposed based on identifiable statistical feature. According to the specific changing ways of PQ steganography to image data, the proposed algorithm extracts the identifiable statistical feature that can distinguish PQ stego images...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-03-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015068/ |
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| _version_ | 1841539663360163840 |
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| author | Ji-cang LU Fen-lin LIU Xiang-yang LUO Yi ZHANG |
| author_facet | Ji-cang LU Fen-lin LIU Xiang-yang LUO Yi ZHANG |
| author_sort | Ji-cang LU |
| collection | DOAJ |
| description | A PQ (perturbed quantization) stego images recognition algorithm is proposed based on identifiable statistical feature. According to the specific changing ways of PQ steganography to image data, the proposed algorithm extracts the identifiable statistical feature that can distinguish PQ stego images from other types of stego images. Then, the SVM (support vector machines) classifier is trained to recognize PQ stego images. Experimental results show that, the proposed algorithm can reliably recognize PQ stego images from multi-class stego images generated by five types of well-known JPEG steganography (PQ、F5ns、F5、MB1 and MOD). Even though the stego images generated by F5、nsF5、MB1 and MOD are not used for training classifier, the proposed algorithm can still effectively recognize PQ stego images. |
| format | Article |
| id | doaj-art-77b1df792891419eb82c7cd08c644326 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-77b1df792891419eb82c7cd08c6443262025-01-14T06:45:44ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-03-013613914859690947Recognition of PQ stego images based on identifiable statistical featureJi-cang LUFen-lin LIUXiang-yang LUOYi ZHANGA PQ (perturbed quantization) stego images recognition algorithm is proposed based on identifiable statistical feature. According to the specific changing ways of PQ steganography to image data, the proposed algorithm extracts the identifiable statistical feature that can distinguish PQ stego images from other types of stego images. Then, the SVM (support vector machines) classifier is trained to recognize PQ stego images. Experimental results show that, the proposed algorithm can reliably recognize PQ stego images from multi-class stego images generated by five types of well-known JPEG steganography (PQ、F5ns、F5、MB1 and MOD). Even though the stego images generated by F5、nsF5、MB1 and MOD are not used for training classifier, the proposed algorithm can still effectively recognize PQ stego images.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015068/steganalysisstego image recognitionPQ steganographyidentifiable statistical feature |
| spellingShingle | Ji-cang LU Fen-lin LIU Xiang-yang LUO Yi ZHANG Recognition of PQ stego images based on identifiable statistical feature Tongxin xuebao steganalysis stego image recognition PQ steganography identifiable statistical feature |
| title | Recognition of PQ stego images based on identifiable statistical feature |
| title_full | Recognition of PQ stego images based on identifiable statistical feature |
| title_fullStr | Recognition of PQ stego images based on identifiable statistical feature |
| title_full_unstemmed | Recognition of PQ stego images based on identifiable statistical feature |
| title_short | Recognition of PQ stego images based on identifiable statistical feature |
| title_sort | recognition of pq stego images based on identifiable statistical feature |
| topic | steganalysis stego image recognition PQ steganography identifiable statistical feature |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015068/ |
| work_keys_str_mv | AT jicanglu recognitionofpqstegoimagesbasedonidentifiablestatisticalfeature AT fenlinliu recognitionofpqstegoimagesbasedonidentifiablestatisticalfeature AT xiangyangluo recognitionofpqstegoimagesbasedonidentifiablestatisticalfeature AT yizhang recognitionofpqstegoimagesbasedonidentifiablestatisticalfeature |