期刊名称:International Journal of Computer Science and Security (IJCSS)
电子版ISSN:1985-1553
出版年度:2008
卷号:2
期号:1
页码:12-22
出版社:Computer Science Journals
摘要:Steganographic tools and techniques are becoming more potential and widespread. Illegal use of steganography poses serious challenges to the law enforcement agencies. Limited work has been carried out on supervised steganalysis using neural network as a classifier. We present a combined method of identifying the presence of covert information in a carrier image using fisherââ,¬â"¢s linear discriminant (FLD) function followed by the radial basis function (RBF). Experiments show promising results when compared to the existing supervised steganalysis methods, but arranging the retrieved information is still a challenging problem.