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International Conference on Information Security Practice and Experience

ISPEC 2010: Information Security, Practice and Experience pp 341–358Cite as

Binary Image Steganographic Techniques Classification Based on Multi-class Steganalysis

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 6047))

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.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 93050, Kota Samarahan, Malaysia

    Kang Leng Chiew

  2. Department of Computing, Macquarie University, NSW, 2109, Australia

    Kang Leng Chiew & Josef Pieprzyk

Authors
  1. Kang Leng Chiew
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  2. Josef Pieprzyk
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Editor information

Editors and Affiliations

  1. Department of Information Security Engineering, Soonchunhyang University, 646 Eupnae-ri, Shinchang-myun, Asan-si, 336-745, Chungcheongnam-do, Korea

    Jin Kwak

  2. School of Information Systems, Singapore Management University, 469 Bukit Timah Road, 259756, Singapore

    Robert H. Deng

  3. Internet and Security Policy Division, Korea Internet and Security Agency, Daedong B/D, Garak-dong 79-3, Songpa-gu, 138-950, Seoul, Korea

    Yoojae Won

  4. School of Computer Science, University of Birmingham, B15 2TT, Birmingham, UK

    Guilin Wang

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Chiew, K.L., Pieprzyk, J. (2010). Binary Image Steganographic Techniques Classification Based on Multi-class Steganalysis. In: Kwak, J., Deng, R.H., Won, Y., Wang, G. (eds) Information Security, Practice and Experience. ISPEC 2010. Lecture Notes in Computer Science, vol 6047. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12827-1_25

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  • DOI: https://doi.org/10.1007/978-3-642-12827-1_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12826-4

  • Online ISBN: 978-3-642-12827-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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