{"title":"基于翻译的隐写攻击","authors":"P. Meng, L. Hang, Wei Yang, Zhili Chen","doi":"10.1109/YCICT.2009.5382382","DOIUrl":null,"url":null,"abstract":"Translation-Based Steganography(TBS) is a kind of famous text steganography. In this paper we examine the robustness of TBS and give an effective detection algorithm for TBS. Our algorithm can not only distinguish between natural language text and stego-text which was generated by TBS, but also can distinguish between machine translated text and stego-text. The detection accuracy increases as the text size increases. When the text size is larger than 60 sentences, the detection accuracy is greater than 92%.","PeriodicalId":138803,"journal":{"name":"2009 IEEE Youth Conference on Information, Computing and Telecommunication","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Attacks on Translation Based Steganography\",\"authors\":\"P. Meng, L. Hang, Wei Yang, Zhili Chen\",\"doi\":\"10.1109/YCICT.2009.5382382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Translation-Based Steganography(TBS) is a kind of famous text steganography. In this paper we examine the robustness of TBS and give an effective detection algorithm for TBS. Our algorithm can not only distinguish between natural language text and stego-text which was generated by TBS, but also can distinguish between machine translated text and stego-text. The detection accuracy increases as the text size increases. When the text size is larger than 60 sentences, the detection accuracy is greater than 92%.\",\"PeriodicalId\":138803,\"journal\":{\"name\":\"2009 IEEE Youth Conference on Information, Computing and Telecommunication\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Youth Conference on Information, Computing and Telecommunication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YCICT.2009.5382382\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Youth Conference on Information, Computing and Telecommunication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YCICT.2009.5382382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Translation-Based Steganography(TBS) is a kind of famous text steganography. In this paper we examine the robustness of TBS and give an effective detection algorithm for TBS. Our algorithm can not only distinguish between natural language text and stego-text which was generated by TBS, but also can distinguish between machine translated text and stego-text. The detection accuracy increases as the text size increases. When the text size is larger than 60 sentences, the detection accuracy is greater than 92%.
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