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Attacks on Steganographic Systems

Breaking the Steganographic Utilities EzStego, Jsteg, Steganos, and S-Tools-and Some Lessons Learned

  • Conference paper
Information Hiding (IH 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1768))

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Abstract

The majority of steganographic utilities for the camouflage of confidential communication suffers from fundamental weaknesses. On the way to more secure steganographic algorithms, the development of attacks is essential to assess security. We present both visual attacks, making use of the ability of humans to clearly discern between noise and visual patterns, and statistical attacks which are much easier to automate.

The visual attacks presented here exemplify that at least EzStego v2.0b3, Jsteg v4, Steganos v1.5, and S-Tools v4.0 suffer from the misassumption that least significant bits of image data are uncorrelated noise. Beyond that, this paper introduces more objective methods to detect steganography by statistical means.

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References

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  22. S-Tools, ftp://idea.sec.dsi.unimi.it/pub/security/crypt/code/s-tools4.zip

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Author information

Authors and Affiliations

  1. Department of Computer Science, Dresden University of Technology, D-01062, Dresden, Germany

    Andreas Westfeld & Andreas Pfitzmann

Authors
  1. Andreas Westfeld
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  2. Andreas Pfitzmann
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science, TU Dresden, 01062, Dresden, Germany

    Andreas Pfitzmann

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© 2000 Springer-Verlag Berlin Heidelberg

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Westfeld, A., Pfitzmann, A. (2000). Attacks on Steganographic Systems. In: Pfitzmann, A. (eds) Information Hiding. IH 1999. Lecture Notes in Computer Science, vol 1768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10719724_5

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  • DOI: https://doi.org/10.1007/10719724_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67182-4

  • Online ISBN: 978-3-540-46514-0

  • eBook Packages: Springer Book Archive

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