Reducing false positives of steganalysis via classification of image-acquiring sources
In the real world, reducing false positive rates in the case of cover source mismatch (CSM) was a big challenge for steganalysis. A novel model was proposed to solve the problem. The proposed method determines the im-age-acquiring source firstly by a source detector and then detecting the steg image...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-12-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016282/ |
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| _version_ | 1841539516101296128 |
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| author | Pei-tao YANG Wei-ming ZHANG Neng-hai YU |
| author_facet | Pei-tao YANG Wei-ming ZHANG Neng-hai YU |
| author_sort | Pei-tao YANG |
| collection | DOAJ |
| description | In the real world, reducing false positive rates in the case of cover source mismatch (CSM) was a big challenge for steganalysis. A novel model was proposed to solve the problem. The proposed method determines the im-age-acquiring source firstly by a source detector and then detecting the steg images in each source with a steganalyzer trained for this source. The false positive rate was reduced by solving a parameter model. The experimental results show that this novel method can reach lower false positive rates for larger true positive rates. |
| format | Article |
| id | doaj-art-7b66590914a94fd28bbef4e6e093704b |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-7b66590914a94fd28bbef4e6e093704b2025-01-14T07:11:02ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-12-013716517059705483Reducing false positives of steganalysis via classification of image-acquiring sourcesPei-tao YANGWei-ming ZHANGNeng-hai YUIn the real world, reducing false positive rates in the case of cover source mismatch (CSM) was a big challenge for steganalysis. A novel model was proposed to solve the problem. The proposed method determines the im-age-acquiring source firstly by a source detector and then detecting the steg images in each source with a steganalyzer trained for this source. The false positive rate was reduced by solving a parameter model. The experimental results show that this novel method can reach lower false positive rates for larger true positive rates.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016282/false positivemismatchsteganalysisminimum false positive model |
| spellingShingle | Pei-tao YANG Wei-ming ZHANG Neng-hai YU Reducing false positives of steganalysis via classification of image-acquiring sources Tongxin xuebao false positive mismatch steganalysis minimum false positive model |
| title | Reducing false positives of steganalysis via classification of image-acquiring sources |
| title_full | Reducing false positives of steganalysis via classification of image-acquiring sources |
| title_fullStr | Reducing false positives of steganalysis via classification of image-acquiring sources |
| title_full_unstemmed | Reducing false positives of steganalysis via classification of image-acquiring sources |
| title_short | Reducing false positives of steganalysis via classification of image-acquiring sources |
| title_sort | reducing false positives of steganalysis via classification of image acquiring sources |
| topic | false positive mismatch steganalysis minimum false positive model |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016282/ |
| work_keys_str_mv | AT peitaoyang reducingfalsepositivesofsteganalysisviaclassificationofimageacquiringsources AT weimingzhang reducingfalsepositivesofsteganalysisviaclassificationofimageacquiringsources AT nenghaiyu reducingfalsepositivesofsteganalysisviaclassificationofimageacquiringsources |