Open Access

Image Steganalysis with Binary Similarity Measures

  • İsmail Avcıbaş1Email author,
  • Mehdi Kharrazi2,
  • Nasir Memon3 and
  • Bülent Sankur4
EURASIP Journal on Advances in Signal Processing20052005:679350

DOI: 10.1155/ASP.2005.2749

Received: 14 March 2004

Published: 23 October 2005

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.

Keywords and phrases

steganography steganalysis universal steganalysis

Authors’ Affiliations

(1)
Department of Electronics Engineering, Uludağ University
(2)
Department of Electrical and Computer Engineering, Polytechnic University
(3)
Department of Computer and Information Science, Polytechnic University
(4)
Department of Electrical and Electronics Engineering, Boğaziçi University

Copyright

© Avcıbaş et al. 2005

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