Research Article | OPEN ACCESS
An Efficient Steganalytic Algorithm based on Contourlet with GLCM
1T.J. Benedict Jose and 2P. Eswaran
1Department of Computer Science, Manonmaniam Sundaranar University, Tirunelveli, India
2Department of Computer Science, Alagappa University, Karaikudi, India
Research Journal of Applied Sciences, Engineering and Technology 2014 12:1396-1403
Received: April ‎29, ‎2014 | Accepted: May ‎25, ‎2014 | Published: September 25, 2014
Abstract
Steganalysis is a technique to detect the hidden embedded information in the provided data. This study proposes a novel steganalytic algorithm which distinguishes between the normal and the stego image. III level contourlet is exploited in this study. Contourlet is known for its ability to capture the intrinsic geometrical structure of an image. Here, the lowest frequency component of each level is obtained. The pixel distance is taken as 1 and the directions considered are 0, 45, 90 and 180°, respectively. Finally, Support Vector Machine (SVM) is used as the classifier to differentiate between the normal and the stego image. This steganalytic system is tested with DWT, Ridgelet, Contourlet, Curvelet, Bandelet and Shearlet. All these were tested in the aspects of first order, Run length and Gray-Level Co-occurrence Matrix (GLCM) features. Among all these, Contourlet with GLCM shows the maximum accuracy of 98.79% and has the lowest misclassification rate of 1.21 and are presented in graphs.
Keywords:
Contourlet , first order , GLCM , run length , steganalysis , SVM,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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