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Generalised Category Attack—Improving Histogram-Based Attack on JPEG LSB Embedding

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Information Hiding (IH 2007)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 4567))

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Abstract

We present a generalised and improved version of the category attack on LSB steganography in JPEG images with straddled embedding path. It detects more reliably low embedding rates and is also less disturbed by double compressed images. The proposed methods are evaluated on several thousand images. The results are compared to both recent blind and specific attacks for JPEG embedding. The proposed attack permits a more reliable detection, although it is based on first order statistics only. Its simple structure makes it very fast.

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Author information

Authors and Affiliations

  1. Center for Information Security Technologies (CIST), Korea University, Seoul, Korea

    Kwangsoo Lee & Sangjin Lee

  2. Institute for System Architecture, Technische Universität Dresden, 01062, Dresden, Germany

    Andreas Westfeld

Authors
  1. Kwangsoo Lee
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  2. Andreas Westfeld
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  3. Sangjin Lee
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Editor information

Editors and Affiliations

  1. Bretagne Atlantique Research Centre, INRIA Rennes, Campus universitaire de Beaulieu, 35042, Rennes cedex, France

    Teddy Furon

  2. Gipsa-lab Grenoble, CNRS, 961, rue de la Houille Blanche, BP 46, 38042, St. Martin d’Hères Cedex, France

    François Cayre

  3. University College London, Adastral Park, Ross Building 2, IP5 3RE, Martlesham, UK

    Gwenaël Doërr

  4. Gipsa-lab Grenoble, CNRS, 961 rue de la Houille Blanche Domaine universitaire, B.P. 46, 38402, Saint Martin d’Hères cedex, France

    Patrick Bas

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© 2007 Springer-Verlag Berlin Heidelberg

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Lee, K., Westfeld, A., Lee, S. (2007). Generalised Category Attack—Improving Histogram-Based Attack on JPEG LSB Embedding. In: Furon, T., Cayre, F., Doërr, G., Bas, P. (eds) Information Hiding. IH 2007. Lecture Notes in Computer Science, vol 4567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77370-2_25

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  • DOI: https://doi.org/10.1007/978-3-540-77370-2_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77369-6

  • Online ISBN: 978-3-540-77370-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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