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Attack on JPEG2000 Steganography Using LRCA

  • Hwajong Oh
  • Kwangsoo Lee
  • Sangjin Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4283)

Abstract

In this paper, using a new steganalytic method, namely the left-and-right cube analysis (LRCA), we explore the steganography exploiting the JPEG2000 image as the carrier medium, where the steganography works by substituting message bits for the least significant bits (LSBs) of the quantized wavelet coefficients. For the achievement of the LRCA implementation on JPEG2000 images, we establish an appropriate sampling rule to extract the sample vectors from the image data, i.e., the quantized wavelet coefficients, in the wavelet domain. In experiments, we used the LSB steganography and the bit-plane complexity segmentation (BPCS) steganography in order to generate the stego images. In results, the proposed method works well for both steganographic methods, and outperforms some other previous steganalytic methods.

Keywords

Secret Message Digital Medium Stego Image JPEG2000 Image Sample Vector 
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 2006

Authors and Affiliations

  • Hwajong Oh
    • 1
  • Kwangsoo Lee
    • 1
  • Sangjin Lee
    • 1
  1. 1.Center for Information Security Technologies (CIST)Korea UniversitySeoulKorea

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