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| Implementation of Radial Basis Function Neural Network for Image Steganalysis
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Full
text: |
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Source |
International Journal of Computer Science and Security (IJCSS) |
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Table of Contents |
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Complete Issue PDF(1.35MB) |
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Volume: 2 Issue: 1 |
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Pages: 1-86 |
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Publication
Date: February 2008 |
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ISSN
(Online): 1985-1553 |
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Pages |
12 - 22 |
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Author(s) |
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Published
Date |
30-02-2008 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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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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| 1 |
S. R. Baragada, S. Ramakrishna, M. S. Rao, S. Purushothaman. "Polynomial Discriminant Radial Basis Function for Steganalysis". IJCSNS International Journal of Computer Science and Network Security, 9(2):209-218, 2009
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MENDELEY
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Indian National Centre for Ocean Information Services
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| Sambasiva Rao Baragada : Colleagues
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| S. Ramakrishna : Colleagues
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| M.S. Rao, S. Purushothaman : Colleagues
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