Skip to main content

Steganalysis of Multi Bit Plane Image Steganography

  • Conference paper
Digital Watermarking (IWDW 2007)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5041))

Included in the following conference series:

Abstract

In this paper, we present an efficient specific steganalysis scheme for multi bit plane image steganography. This algorithm proposed by Nguyen, Yoon and Lee at IWDW’06 is applied to uncompressed images and embeds data into several bit planes of the canonical gray coding. It is designed to be robust against RS steganalysis and pixel difference histogram analysis. We show how to adapt RS analysis into a local analysis to design an efficient detector against multi bit plane image steganography. This method takes advantages from both the counter-measures introduced by the authors and the power of RS analysis approach. Finally, we designed a specific classifier to detect images embedded with Nguyen’s algorithm. This detector has high detection rates, even for low embedding rates.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Nguyen, B., Yoon, S., Lee, H.K.: Multi bit plane image steganography. In: Shi, Y.Q., Jeon, B. (eds.) IWDW 2006. LNCS, vol. 4283, pp. 61–70. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  2. Agaian, S., Rodriguez, B., Perez, J.: Stego sensitivity measure and multibit plane based steganography using different color models. In: Delp, E., Wong, P. (eds.) Proc.Security, Steganography, and Watermarking of Multimedia Contents VIII, February 2006, vol. 6072, pp. 279–290 (2006)

    Google Scholar 

  3. Fridrich, J., Goljan, M., Du, R.: Reliable detection of LSB steganography in grayscale and color images. In: Proc. ACM Workshop on Multimedia and Security, Ottawa, Canada, October 2001, pp. 27–30 (2001)

    Google Scholar 

  4. Westfeld, A., Pfitzmann, A.: Attacks on steganographic systems. In: Pfitzmann, A. (ed.) IH 1999. LNCS, vol. 1768, pp. 61–76. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  5. Dumitrescu, S., Wu, X., Wang, Z.: Detection of LSB steganography via sample pair analysis. In: Petitcolas, F.A.P. (ed.) IH 2002. LNCS, vol. 2578, pp. 355–372. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  6. Lu, P., Luo, X., Tang, Q., Shen, L.: An improved sample pairs method for detection of LSB embedding. In: Fridrich, J. (ed.) IH 2004. LNCS, vol. 3200, pp. 116–127. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  7. Lyu, S., Farid, H.: Steganalysis using higher-order image statistics. IEEE Transactions on Information Forensics and Security 1 (2006)

    Google Scholar 

  8. Ker, A.: Improved detection of LSB steganography in grayscale images. In: Fridrich, J. (ed.) IH 2004. LNCS, vol. 3200, pp. 97–115. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  9. Barbier, J., Filiol, É., Mayoura, K.: Universal detection of JPEG steganography. Journal of Multimedia 2(2), 1–9 (2007)

    Article  Google Scholar 

  10. Barbier, J., Filiol, É., Mayoura, K.: Universal JPEG steganalysis in the compressed frequency domain. In: Shi, Y.Q., Jeon, B. (eds.) IWDW 2006. LNCS, vol. 4283, pp. 253–267. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  11. Saporta, G.: Probabilité, Analyse des Données et Statistiques. Technip (in french) (1990)

    Google Scholar 

  12. Raudys, S.: Statistical and Neural Classifiers: An Integrated Approach to Design. Advances in Pattern Recognition. Springer, Heidelberg (2001)

    Book  MATH  Google Scholar 

  13. Fridrich, J., Goljan, M., Du, R.: Detecting LSB steganography in color and gray-scale images. IEEE MultiMedia 8(4), 22–28 (2001)

    Article  Google Scholar 

  14. Westfeld, A.: F5-a steganographic algorithm. In: Moskowitz, I. (ed.) IH 2001. LNCS, vol. 2137, pp. 289–302. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  15. Provos, N.: Defending against statistical steganalysis. In: 10th USENIX Security Symposium, Washington, DC, USA (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Barbier, J., Mayoura, K. (2008). Steganalysis of Multi Bit Plane Image Steganography. In: Shi, Y.Q., Kim, HJ., Katzenbeisser, S. (eds) Digital Watermarking. IWDW 2007. Lecture Notes in Computer Science, vol 5041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92238-4_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-92238-4_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92237-7

  • Online ISBN: 978-3-540-92238-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics