Skip to main content

Image Steganalysis with Binary Similarity Measures

Abstract

We present a novel technique for steganalysis of images that have been subjected to embedding by steganographic algorithms. The seventh and eighth bit planes in an image are used for the computation of several binary similarity measures. The basic idea is that the correlation between the bit planes as well as the binary texture characteristics within the bit planes will differ between a stego image and a cover image. These telltale marks are used to construct a classifier that can distinguish between stego and cover images. We also provide experimental results using some of the latest steganographic algorithms. The proposed scheme is found to have complementary performance vis-à-vis Farid's scheme in that they outperform each other in alternate embedding techniques.

Author information

Affiliations

Authors

Corresponding author

Correspondence to İsmail Avcıbaş.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Avcıbaş, İ., Kharrazi, M., Memon, N. et al. Image Steganalysis with Binary Similarity Measures. EURASIP J. Adv. Signal Process. 2005, 679350 (2005). https://doi.org/10.1155/ASP.2005.2749

Download citation

Keywords and phrases

  • steganography
  • steganalysis
  • universal steganalysis