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A Steganographic Embedding Undetectable by JPEG Compatibility Steganalysis

  • Richard E. Newman
  • Ira S. Moskowitz
  • LiWu Chang
  • Murali M. Brahmadesam
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2578)

Abstract

Steganography and steganalysis of digital images is a cat-and-mouse game. In recent work, Fridrich, Goljan and Du introduced a method that is surprisingly accurate at determining if bitmap images that originated as JPEG files have been altered (and even specifying where and how they were altered), even if only a single bit has been changed. However, steganographic embeddings that encode embedded data in the JPEG coefficients are not detectable by their JPEG compatibility steganalysis. This paper describes a steganographic method that encodes the embedded data in the spatial domain, yet cannot be detected by their steganalysis mechanism. Furthermore, we claim that our method can also be used as a steganographic method on files stored in JPEG format. The method described herein uses a novel, topological approach to embedding. The paper also outlines some extensions to the proposed embedding method.

Keywords

Discrete Cosine Transform Human Visual System Cover Image Discrete Cosine Transform Coefficient Stego Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Richard E. Newman
    • 1
  • Ira S. Moskowitz
    • 2
  • LiWu Chang
    • 2
  • Murali M. Brahmadesam
    • 1
  1. 1.CISE DepartmentUniversity of FloridaGainesvilleUSA
  2. 2.Center for High Assurance Computer SystemsCode 5540, Naval Research LaboratoryWashington, DCUSA

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