Binary image steganographic techniques classification based on multi-class steganalysis

Chiew, Kang Leng & Pieprzyk, Josef (2010) Binary image steganographic techniques classification based on multi-class steganalysis. Lecture Notes in Computer Science : Information Security, Practice and Experience, 6047, pp. 341-358.

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Abstract

In this paper, we propose a new multi-class steganalysis for binary image. The proposed method can identify the type of steganographic technique used by examining on the given binary image. In addition, our proposed method is also capable of differentiating an image with hidden message from the one without hidden message. In order to do that, we will extract some features from the binary image. The feature extraction method used is a combination of the method extended from our previous work and some new methods proposed in this paper. Based on the extracted feature sets, we construct our multi-class steganalysis from the SVM classifier. We also present the empirical works to demonstrate that the proposed method can effectively identify five different types of steganography.

Impact and interest:

2 citations in Scopus
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4 citations in Web of Science®

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ID Code: 70120
Item Type: Journal Article
Refereed: Yes
Additional Information: 6th International Conference, ISPEC 2010, Seoul, Korea, May 12-13, 2010. Proceedings
Keywords: Multi-class steganalysis, Steganography, Co-occurrence matrix, Run length, SVM
DOI: 10.1007/978-3-642-12827-1_25
ISSN: 0302-9743
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2010 Springer-Verlag Berlin Heidelberg
Deposited On: 14 Apr 2014 01:06
Last Modified: 16 Jul 2014 01:16

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