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Steganalysis of JPEG Images: Breaking the F5 Algorithm

  • Jessica Fridrich
  • Miroslav Goljan
  • Dorin Hogea
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2578)

Abstract

In this paper, we present a steganalytic method that can reliably detect messages (and estimate their size) hidden in JPEG images using the steganographic algorithm F5. The key element of the method is estimation of the cover-image histogram from the stegoimage. This is done by decompressing the stego-image, cropping it by four pixels in both directions to remove the quantization in the frequency domain, and recompressing it using the same quality factor as the stego-image. The number of relative changes introduced by F5 is determined using the least square fit by comparing the estimated histograms of selected DCT coefficients with those of the stego-image. Experimental results indicate that relative modifications as small as 10% of the usable DCT coefficients can be reliably detected. The method is tested on a diverse set of test images that include both raw and processed images in the JPEG and BMP formats.

Keywords

Secret Message JPEG Image Message Length JPEG Format Steganographic Method 
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

  • Jessica Fridrich
    • 1
  • Miroslav Goljan
    • 1
  • Dorin Hogea
    • 2
  1. 1.Department of Electrical and Computer EngineeringSUNY BinghamtonBinghamtonUSA
  2. 2.Department of Computer ScienceSUNY BinghamtonBinghamtonUSA

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