Title :
Image Steganalysis by the Distribution Characters of Stego-images in Reduced Dimension Space
Author :
Chen, Guoming ; Zhang, Dong ; Chen, Qiang ; Zhou, Duanning
Author_Institution :
Dept. of Comput. Sci., Guangdong Univ. of Educ., Guangzhou, China
Abstract :
In this paper we propose an Improved Kernel Linear Discriminant Analysis algorithm to analyze the distribution differences between cover images and stego-images in the reduced dimensional space. We observe that the hidden information, the information hidden in the cover images, of stegoimages are clustered in some plane while all other information of cover-images are scattered more evenly in this space and have no other clusters. Based on this fact, we develop a steganalysis scheme to discriminate stego-images from innocent images. The experiment results show the effectiveness of the proposed approach.
Keywords :
image processing; pattern clustering; steganography; cover-image information scattering; hidden information; image steganalysis; innocent images; kernel linear discriminant analysis algorithm; reduced dimension space; stego-image clustering; stego-image distribution characters; Algorithm design and analysis; Clustering algorithms; Educational institutions; Histograms; Kernel; Laplace equations; Vectors; Dimension reduction; data distribution; steganalysis;
Conference_Titel :
Digital Home (ICDH), 2012 Fourth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1348-3
DOI :
10.1109/ICDH.2012.34
