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Generic Adoption of Spatial Steganalysis to Transformed Domain

  • Conference paper
Information Hiding (IH 2008)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5284))

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Abstract

There are several powerful steganalytic methods for images in the spatial domain, which are based on higher order statistics. We propose a generic methodology to prepare higher order steganalytic methods from spatial domain for application in the transformed domain. This paper presents 72 new systematically designed methods that are derived from the spatial domain. Their reliability and the precision of their length estimation is evaluated based on 1700 million attacks. We present the contribution of the proposed methods in terms of detection power and precision compared to prior art and determine how properties like image size and JPEG quality influence the ranking of the proposed attacks.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science Institute of Systems Architecture, Technische Universität Dresden, 01062, Dresden, Germany

    Andreas Westfeld

Authors
  1. Andreas Westfeld
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Editor information

Editors and Affiliations

  1. Mayachitra Inc., Hollister Avenue, Suite 229, 5266, CA 93111, Santa Barbara, USA

    Kaushal Solanki  & Kenneth Sullivan  & 

  2. Department of Electrical and Computer Engineering, University of California, 93106, Santa Barbara, USA

    Upamanyu Madhow

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Westfeld, A. (2008). Generic Adoption of Spatial Steganalysis to Transformed Domain. In: Solanki, K., Sullivan, K., Madhow, U. (eds) Information Hiding. IH 2008. Lecture Notes in Computer Science, vol 5284. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88961-8_12

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  • DOI: https://doi.org/10.1007/978-3-540-88961-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88960-1

  • Online ISBN: 978-3-540-88961-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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