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Statistical Modeling for LSB-Based Image Steganalysis: A Systematic Perspective

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Applied Informatics and Communication (ICAIC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 224))

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Abstract

Steganalysis is a science of detecting possible hidden messages in an apparently innocuous cover medium, which is usually modeled as looking for a characteristic function that can discriminate effectively the stego from the cover. In this paper, we investigated the statistical models available for typical tools of LSB-based image steganalysis, focusing on their relations with the statistics of cover images, of secret messages, of operations acted upon the cover image, in an effort to theoretically form a systematic perspective which helps cast better insights into different steganalytic methods of inherent consistence. We proved the equivalence of some statistical models as results and compared the difference of effectiveness among these consistent statistical models.

This project is sponsored by the Doctorate Initiation program of Hainan University, 3rd “211 Engineering Construction” Project of Hainan University and Special Expense Support from Hainan Provincial Engineering Technological Research Center under the grant No.2060499.

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Authors and Affiliations

  1. College of Information Science & Technology, Hainan University, Haikou, Hainan Province, China

    Xiaoming Yao, Wencai Du, Taijun Li, Longjuan Wang, Honglei Li, Hanwei Wu & Zequn Wang

Authors
  1. Xiaoming Yao
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  2. Wencai Du
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  3. Taijun Li
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  4. Longjuan Wang
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  5. Honglei Li
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  6. Hanwei Wu
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  7. Zequn Wang
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Editors and Affiliations

  1. Shenzhen University, Nanhai Ave. 3688, 518060, Shenzhen, Guangdong, China

    Dehuai Zeng

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© 2011 Springer-Verlag Berlin Heidelberg

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Yao, X. et al. (2011). Statistical Modeling for LSB-Based Image Steganalysis: A Systematic Perspective. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_85

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  • DOI: https://doi.org/10.1007/978-3-642-23214-5_85

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23213-8

  • Online ISBN: 978-3-642-23214-5

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