International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 40 - Number 6 |
Year of Publication: 2012 |
Authors: Laimeche Lakhdar, Hayet Farida Merouani |
10.5120/4957-7211 |
Laimeche Lakhdar, Hayet Farida Merouani . A Novel Technique of Steganalysis in Uncompressed Image through Zipf’s Law. International Journal of Computer Applications. 40, 6 ( February 2012), 1-8. DOI=10.5120/4957-7211
In this paper, we present a Novel method to detect the existence of hidden message in LSB steganography. The key element of the proposed method is the power Law: Zipf’s law.The detection theory is based on statistical analysis of pixel patterns using a Zipfness measure between successive bit planes. The basic idea is that, the correlation between bit planes as well as the binary texture characteristics within the bit planes will differ between a stego image and a cover image. The seventh and eighth bit planes, and possibly others, are used to calculate the Zipf Quality (ZQ) measure. The proposed technique does not need a reference image and it works with spatial transform-domain embedding. The method is similar to steganalysis in [12]; it exploits Binary Similarity measures of images to reveal the presence of steganographic content.