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Minimizing the Statistical Impact of LSB Steganography

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Image Analysis and Recognition (ICIAR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3656))

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Abstract

This paper explores the statistics of least-significant bit (LSB) steganography. The problem of encoding a bit sequence (message) to match the statistics of a random bit-sequence (cover) is considered. A method of hiding information in the least significant bits (LSBs) of JPEG coefficients is described; the method mimics either the chi-square statistic of JPEG coefficients or their distribution. The method uses two-bit codes to encode the message bits. It is shown to be very effective on JPEG images of natural scenes.

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References

  1. Anderson, R.J., Petitcolas, F.: On the limits of steganography. IEEE Journal on Selected Areas in Communications 16, 474–481 (1998)

    Article  Google Scholar 

  2. Böhme, R., Westfeld, A.: Exploiting preserved statistics for steganalysis. In: Fridrich, J. (ed.) IH 2004. LNCS, vol. 3200, pp. 82–96. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  3. Cachin, C.: An information-theoretic model for steganography. In: Aucsmith, D. (ed.) IH 1998. LNCS, vol. 1525, pp. 306–318. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  4. Lyu, S., Farid, H.: Detecting hidden messages using higher-order statistics and support vector machines. In: Petitcolas, F.A.P. (ed.) IH 2002. LNCS, vol. 2578, pp. 340–354. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Fridrich, J.: Feature-based steganalysis for JPEG images and its implications for future design of steganographic schemes. In: Proc. 6th Information Hiding Workshop, Toronto, Canada (2004)

    Google Scholar 

  6. Fridrich, J., Goljan, M., Du, R.: Detecting LSB Steganography in color and gray-scale images. IEEE Multimedia Magazine, 22–28 (October 2001)

    Google Scholar 

  7. Fridrich, J., Goljan, M., Hogea, D.: Steganalysis of JPEG images: Breaking the F5 algorithm. In: Petitcolas, F.A.P. (ed.) IH 2002. LNCS, vol. 2578, pp. 310–323. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  8. Fridrich, J., Goljan, M., Soukal, D.: Perturbed quantization steganography with wet paper codes. In: Proc. ACM Multimedia Workshop, Magdeburg, Germany (2004)

    Google Scholar 

  9. Independent JPEG Group, http://www.ijg.org

  10. Johnson, N., Jajodia, S.: Exploring steganography: Seeing the unseen. IEEE Computer 31, 26–34 (1998)

    Google Scholar 

  11. Johnson, N., Duric, Z., Jajodia, S.: Information Hiding: Steganography and Watermarking — Attacks and Countermeasures. Kluwer Academic Publishers, Boston (2000)

    Google Scholar 

  12. Johnson, N., Jajodia, S.: Steganalysis of images created using current steganography software. In: Aucsmith, D. (ed.) IH 1998. LNCS, vol. 1525, pp. 273–289. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  13. Katzenbeisser, S., Petitcolas, F.A.P.(eds.): Information Hiding: Techniques for Steganography and Digital Watermarking. Artech House, Norwood, (2000)

    Google Scholar 

  14. Joint Photographic Experts Group, http://www.jpeg.org/public/jpeghomepage.htm

  15. Provos, N.: Defending against statistical steganalysis. In: Proc. 10th USENIX Security Symposium, pp. 323–325 (2001)

    Google Scholar 

  16. Sallee, P.: Model-based steganography. In: Kalker, T., Cox, I., Ro, Y.M. (eds.) IWDW 2003. LNCS, vol. 2939, pp. 154–167. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  17. Upham, D.: Jsteg V4. available at: http://www.funet.fi/pub/crypt/steganography

  18. Westfeld, A., Pfitzmann, A.: Attacks on steganographic systems. In: Proc. Information Hiding Workshop. LNCS, vol. 1768, pp. 61–75. Springer, New York (1999)

    Chapter  Google Scholar 

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

    Chapter  Google Scholar 

  20. Wayner, P.: Disappearing Cryptography, 2nd edn. Morgan Kaufmann, San Francisco (2002)

    Google Scholar 

  21. Westfeld, A.: Detecting low embedding rates. In: Petitcolas, F.A.P. (ed.) IH 2002. LNCS, vol. 2578, pp. 324–339. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, George Mason University, Fairfax, VA, 22030

    Zoran Duric, Dana Richards & Younhee Kim

Authors
  1. Zoran Duric
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  2. Dana Richards
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  3. Younhee Kim
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed Kamel

  2. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, P.O. Box, 4200-465, Porto, Portugal

    Aurélio Campilho

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Duric, Z., Richards, D., Kim, Y. (2005). Minimizing the Statistical Impact of LSB Steganography. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_142

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  • DOI: https://doi.org/10.1007/11559573_142

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29069-8

  • Online ISBN: 978-3-540-31938-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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