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Steganography with Least Histogram Abnormality

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Computer Network Security (MMM-ACNS 2003)

Abstract

A novel steganographic scheme is proposed which avoids asymmetry inherent in conventional LSB embedding techniques so that abnormality in the image histogram is kept minimum. The proposed technique is capable of resisting the χ 2 test and RS analysis, as well as a new steganalytic method named GPC analysis as introduced in this paper. In the described steganographic technique, a pair of mutually complementary mappings, F 1 and F − 1, is used, leading to a balanced behavior of several statistical parameters explored by several steganalytic schemes, thus improved security. Experimental results are presented to demonstrate the effectiveness of the method.

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References

  1. Petitcolas, F.A.P., Anderson, R.J., Kuhn, M.G.: Information Hiding -— A Survey. Proc. IEEE 87, 1062–1078 (1999)

    Article  Google Scholar 

  2. Fridrich, J., Goljan, M.: Practical Steganalysis of Digital Images—State of the Art. In: Proceedings of SPIE, San Jose, USA, vol. 4675, pp. 1–13 (2002)

    Google Scholar 

  3. Wang, H., Wang, S.: Cyber Warfare — Steganography vs. Steganalysis. Communication of the ACM (in press)

    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 (1999)

    Chapter  Google Scholar 

  5. Provos, N., Honeyman, P.: Detecting Steganographic Content on the Internet. CITI Technical Report 01–11 (2001)

    Google Scholar 

  6. Fridrich, J., Goljan, M., Du, R.: Detecting LSB Steganography in Color and Gray-Scale Images. Magazine of IEEE Multimedia, 22–28 (October-December 2001); special Issue on Security

    Google Scholar 

  7. Fridrich, J., Du, R., Long, M.: Steganalysis of LSB Encoding in Color Images. In: IEEE Int. Conf. on Multimedia and Expo, vol. 3, pp. 1279–1282 (2000)

    Google Scholar 

  8. Fridrich, J., Goljan, M., Du, R.: Steganalysis Based on JPEG Compatibility. In: Proceedings of SPIE, vol. 4518, pp. 275–280 (2001)

    Google Scholar 

  9. Fridrich, J., Goljan, M., Hogea, D.: Attacking the OutGuess. In: Proc. of the ACM Workshop on Multimedia and Security 2002, Juan-les-Pins, France, December 6 (2002)

    Google Scholar 

  10. Fridrich, J., Goljan, M., Hogea, D.: Steganalysis of JPEG Image: Breaking the F5 Algorithm. In: 5th International Workshop on Information Hiding, Noordwijkerhout, Netherlands (October 2002)

    Google Scholar 

  11. 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 

  12. Lyu, S., Farid, H.: Detecting Hidden Message Using Higher-Order Statistics and Support Vector Machines. In: 5th International Workshop on Information Hiding, Noordwijkerhout, The Netherlands, 7–9 October (2002)

    Google Scholar 

  13. Ettinger, J.: Steganalysis and Game Equilibria. In: Aucsmith, D. (ed.) IH 1998. LNCS, vol. 1525, pp. 319–328. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  14. Provos, N.: Defending against Statistical Steganalysis. In: 10th USENIX Security Symposium, Washington, DC (2001)

    Google Scholar 

  15. Wang, S., Zhang, X., Zhang, K.: Steganographic Technique Capable of Withstanding RQP Analysis. Journal of Shanghai University 6, 273–277 (2002)

    Article  Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Zhang, X., Wang, S., Zhang, K. (2003). Steganography with Least Histogram Abnormality. In: Gorodetsky, V., Popyack, L., Skormin, V. (eds) Computer Network Security. MMM-ACNS 2003. Lecture Notes in Computer Science, vol 2776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45215-7_34

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  • DOI: https://doi.org/10.1007/978-3-540-45215-7_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40797-3

  • Online ISBN: 978-3-540-45215-7

  • eBook Packages: Springer Book Archive

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