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Implementation of Radial Basis Function Neural Network for Image Steganalysis
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International Journal of Computer Science and Security (IJCSS)
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Volume:  2    Issue:  1
Pages:  1-86
Publication Date:   February 2008
ISSN (Online): 1985-1553
12 - 22
Published Date   
CSC Journals, Kuala Lumpur, Malaysia
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
KEYWORDS:   Steganography, carrier image, covert image 
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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 fisher’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. 
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5 S. Mansor and R. B. Din, A. Samsudin, “Analysis of Natural Language Steganography”, International Journal of Computer Science and Security (IJCSS), 3(2), pp. 113 – 125, 2009.
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2 Indian National Centre for Ocean Information Services
Sambasiva Rao Baragada : Colleagues
S. Ramakrishna : Colleagues
M.S. Rao, S. Purushothaman : Colleagues  
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