Identifying steganographic payload location in binary image

  • Authors:
  • Kang Leng Chiew;Josef Pieprzyk

  • Affiliations:
  • Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia and Department of Computing, Macquarie University, NSW, Australia;Department of Computing, Macquarie University, NSW, Australia

  • Venue:
  • PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
  • Year:
  • 2010

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Abstract

In this paper, we propose a steganalysis method that is able to identify the locations of stego bearing pixels in the binary image. In order to do that, our proposed method will calculate the residual between a given stego image and its estimated cover image. After that, we will compute the local entropy difference between these two versions of images as well. Finally, we will compute the mean of residual and mean of local entropy difference across multiple stego images. From these two means, the locations of stego bearing pixels can be identified. The presented empirical results demonstrate that our proposed method can identify the stego bearing locations of near perfect accuracy when sufficient stego images are supplied. Hence, our proposed method can be used to reveal which pixels in the binary image have been used to carry the secret message.