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International Workshop on Information Hiding

IH 2011: Information Hiding pp 329–341Cite as

LinL:Lost in n-best List

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 6958))

Abstract

Translation-based steganography (TBS) is a new kind of text steganographic scheme. However, contemporary TBS methods are vulnerable to statistical attacks. Differently, this paper presents a novel TBS, namely Lost in n-best List, abbreviated as LinL, that is resilient against the current statistical attacks. LinL employs only one Statistical Machine Translator (SMT) in the encoding process which selects one of the n-best list of each cover text sentence in order to camouflage messages in stegotext. The presented theoretical analysis demonstrates that there is a classification accuracy upper bound between normal translated text and the stegotext. When the text size is 1000 sentences, the theoretical maximum classification accuracy is about 60%. The experiment results also show current steganalysis methods cannot detect LinL.

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Author information

Authors and Affiliations

  1. NHPCC, Depart. of CS. & Tech., USTC, Hefei, 230027, China

    Peng Meng, Liusheng Huang, Zhili Chen & Wei Yang

  2. New Jersey Institute of Technology, Newark, New Jersey, 07102, USA

    Peng Meng & Yun-Qing Shi

  3. Suzhou Institute for Advanced Study, USTC, Suzhou, 215123, China

    Peng Meng, Liusheng Huang, Zhili Chen & Wei Yang

  4. CSEE, University of Maryland, Baltimore County, MD, 21250, USA

    Abdelrahman Desoky

Authors
  1. Peng Meng
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  2. Yun-Qing Shi
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  3. Liusheng Huang
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  4. Zhili Chen
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  5. Wei Yang
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  6. Abdelrahman Desoky
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Editor information

Editors and Affiliations

  1. Digimarc Corporation, 9405 Gemini Drive, 97008, Beaverton, OR, USA

    Tomáš Filler

  2. Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University, Karlovo namesti 13, 121 35, Prague 2, Czech Republic

    Tomáš Pevný

  3. Department of Electrical and Computer Engineering, T. J. Watson School, SUNY Binghamton, 13902, Binghamton, NY, USA

    Scott Craver

  4. Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, OX1 3QD, Oxford, UK

    Andrew Ker

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© 2011 Springer-Verlag Berlin Heidelberg

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Meng, P., Shi, YQ., Huang, L., Chen, Z., Yang, W., Desoky, A. (2011). LinL:Lost in n-best List. In: Filler, T., Pevný, T., Craver, S., Ker, A. (eds) Information Hiding. IH 2011. Lecture Notes in Computer Science, vol 6958. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24178-9_23

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  • DOI: https://doi.org/10.1007/978-3-642-24178-9_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24177-2

  • Online ISBN: 978-3-642-24178-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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