Title :
The blind detection of information hiding in color image
Author_Institution :
Comput. Sci. Dept., East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
As the 24 bits color images are the popular image format in internet and are often used to be the cover image to hide message, this paper proposed a steganalysis method based on the statistic moments of differential image in frequency domain towards the 24 bits color images. The difference is calculated in three directions, horizontal, vertical and diagonal towards adjacent pixels to obtain three-directional differential images for a color image. Then the features for steganalysis are extracted from the DFT of the 2D histograms of differential images. Support vector machine with RBF kernel is applied as classifier to distinguish between stego images and cover images. We test the performance of our proposed steganalysis method over spread spectrum data hiding method, LSB method and QIM data hiding method. The experiment results have proved that the proposed method is effective in attacking these steganograhic schemes applied in spatial domain.
Keywords :
image coding; image colour analysis; radial basis function networks; steganography; support vector machines; 24 bits color images; 2D histograms; QIM data hiding method; blind detection; differential image statistic moments; radial basis function kernel; spread spectrum data hiding method; steganalysis method; support vector machine; three-directional differential images; Color; Data encapsulation; Data mining; Frequency domain analysis; Histograms; Internet; Pixel; Statistics; Support vector machine classification; Support vector machines; differential image; information hiding; steganalysis; steganography;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485457
