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\iteman{io-port 05866517}
\itemau{Chen, Zhili; Huang, Liusheng; Meng, Peng; Yang, Wei; Miao, Haibo}
\itemti{Blind linguistic steganalysis against translation based steganography.}
\itemso{Kim, Hyoung-Joong (ed.) et al., Digital watermarking. 9th international workshop, IWDW 2010, Seoul, Korea, October 1--3, 2010. Revised selected papers. Berlin: Springer (ISBN 978-3-642-18404-8/pbk). Lecture Notes in Computer Science 6526, 251-265 (2011).}
\itemab
Summary: Translation based steganography (TBS) is a kind of relatively new and secure linguistic steganography. It takes advantage of the ``noise'' created by automatic translation of natural language text to encode the secret information. Up to date, there is little research on the steganalysis against this kind of linguistic steganography. In this paper, a blind steganalytic method, which is named natural frequency zoned word distribution analysis (NFZ-WDA), is presented. This method has improved on a previously proposed linguistic steganalysis method based on word distribution which is targeted for the detection of linguistic steganography like nicetext and texto. The new method aims to detect the application of TBS and uses none of the related information about TBS, its only used resource is a word frequency dictionary obtained from a large corpus, or a so called natural frequency dictionary, so it is totally blind. To verify the effectiveness of NFZ-WDA, two experiments with two-class and multi-class SVM classifiers respectively are carried out. The experimental results show that the steganalytic method is pretty promising.
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\itemli{doi:10.1007/978-3-642-18405-5\_21}
\end