Reduced complexity enhancement of steganalysis of LSB-matching image steganography

Malekmohamadi, Hossein and Ghaemmaghami, Shahrokh (2009) Reduced complexity enhancement of steganalysis of LSB-matching image steganography. In: IEEE/ACS International Conference on Computer Systems and Applications, 2009. (AICCSA 2009), 10-13 May 2009, Rabat, Morocco.

Full content URL: http://dx.doi.org/10.1109/AICCSA.2009.5069455

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

We propose a method for steganalysis of still, grayscale images using a novel set of features that are extracted from images. This feature set employs the Gabor filter coefficients to train a multi-layer perceptron neural network and a support vector machine classifier. We show that incorporation of the Gabor filter coefficients to the feature sets of images could have a significant role in discrimination between clean and altered images. Experimental results show that the proposed method outperforms previous methods, introduced for steganalysis of LSB-matching image steganography, in terms of both discrimination accuracy and feature set dimensionality.

Keywords:Gabor filters, learning (artificial intelligence), multilayer perceptrons, steganography, support vector machines
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:12749
Deposited On:20 Dec 2013 09:50

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