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.
Image Steganalysis with Binary Similarity Measures
1 Department of Electronics Engineering, Uludağ University, Bursa 16059, Turkey
2 Department of Electrical and Computer Engineering, Polytechnic University, Brooklyn, NY 11201, USA
3 Department of Computer and Information Science, Polytechnic University, Brooklyn, NY 11201, USA
4 Department of Electrical and Electronics Engineering, Boğaziçi University, İstanbul 34342, Turkey
EURASIP Journal on Advances in Signal Processing 2005, 2005:679350 doi:10.1155/ASP.2005.2749
The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2005/17/679350
|Received:||14 March 2004|
|Revisions received:||10 May 2005|
|Published:||23 October 2005|
© 2005 Avcıbaş et al.