Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chen, Z., Huang, L., Yu, Z., Li, L., Yang, W.: A Statistical Algorithm for Linguistic Steganography Detection Based on Distribution of Words. In: Proc. of ARES 2008, pp. 558–563 (2008)
Grothoff, C., Grothoff, K., Alkhutova, L., Stutsman, R., Atallah, M.J.: Translation-based steganography. In: Barni, M., Herrera-Joancomartí, J., Katzenbeisser, S., Pérez-González, F. (eds.) IH 2005. LNCS, vol. 3727, pp. 219–233. Springer, Heidelberg (2005)
Ryan, S., Christian, G., Mikhail, A., Krista, G.: Lost in Just the translation. In: The Proc. of ACM Symposium on Applied Computing 2005, pp. 338–345 (2005)
Christian, G., Krista, G., Ryan, S., Ludmila, A., Mikhail, A.: Translation-based steganography. Journal of Computer Security 17(3), 269–303 (2009)
Meng, P., Huang, L., Yang, W., Chen, Z.: Attacks on Translation based teganography. In: Proc. of IEEE Youth Conference on Information, Computing and Telecommunication 2009, pp. 227–230 (2009)
Meng, P., Hang, L., Chen, Z., Hu, Y., Yang, W.: STBS: A statistical algorithm for steganalysis of translation-based steganography. In: Böhme, R., Fong, P.W.L., Safavi-Naini, R. (eds.) IH 2010. LNCS, vol. 6387, pp. 208–220. Springer, Heidelberg (2010)
Mark, C.: Hiding the Hidden: A Software System for Concealing Ciphertext as Innocuous Text (1997), http://www.NICETEXT.com/NICETEXT/doc/thesis.pdf
Kevin, M.: TEXTO, ftp://ftp.funet.fi/pub/crypt/steganography/texto.tar.gz
Wu, S.: Research on Information Hiding. Degree of master. University of Science and Technology of China (2003)
Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines (2001), Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
Philipp, K.: Europarl: A parallel corpus for statistical machine translation. In: MT summit, vol. 5 (2005)
BNC database and word frequency lists, http://www.kilgarriff.co.uk/bnc-readme.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, Z., Huang, L., Meng, P., Yang, W., Miao, H. (2011). Blind Linguistic Steganalysis against Translation Based Steganography. In: Kim, HJ., Shi, Y.Q., Barni, M. (eds) Digital Watermarking. IWDW 2010. Lecture Notes in Computer Science, vol 6526. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18405-5_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-18405-5_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18404-8
Online ISBN: 978-3-642-18405-5
eBook Packages: Computer ScienceComputer Science (R0)