Publication Type:

Conference Paper

Source:

ACE 2010 - 2010 International Conference on Advances in Computer Engineering, Bangalore, p.298-300 (2010)

ISBN:

9780769540580

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-77956137084&partnerID=40&md5=ae590e69c76f51c005e5cbaa280ea551

Keywords:

Cover-image, Embedding algorithms, Feature-based, Hidden messages, High resolution image, Image features, Image processing, Steganalysis, Steganography, SVM, SVM classifiers, Wavelet decomposition

Abstract:

Steganography is broadly used to embed information in high resolution images, since it can contain adequate information within the small portion of cover image. Steganalysis is the procedure of finding the occurrence of hidden message in an image. This paper compares the efficiency of two embedding algorithms using the image features that are consistent over a wide range of cover images, but are distributed by the presence of embedded data. Image features were extracted after wavelet decomposition of the given image. These features were then given to a SVM classifier to identify the stego content. © 2010 IEEE.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@769b17c6 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@403604ff Through org.apache.xalan.xsltc.dom.DOMAdapter@1a822248; Conference Code:81584

Cite this Research Publication

G. T. Kumar, Jithin, R., and Shankar, D. D., “Feature based steganalysis using wavelet decomposition and magnitude statistics”, in ACE 2010 - 2010 International Conference on Advances in Computer Engineering, Bangalore, 2010, pp. 298-300.