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Color Cube Analysis for Detection of LSB Steganography in RGB Color Images

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Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3481))

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Abstract

This paper introduces a new distribution model of RGB colors in RGB color images that can be easily breakable by LSB embedding. Regarding the RGB colors as the points of a 3-dimensional lattice space, we consider the noisiness of some special sets called the δ-cubes. The model is based on the symmetrical patterns of noise vectors in some of the comparable δ-cubes. Our new steganalytic technique based on the model, called by the color cube analysis, was capable to detect reliably the low-rate LSB embedding, even when it did not have any false detection, in our experiment.

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References

  1. Maurer, U.M.: A Universal Statistical Test for Random Bit Generators. Journal of Cryptology 5(2), 89–105 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  2. Anderson, R.J., Petitcolas, F.A.P.: On The Limits of Steganography. IEEE Journal of Selected Areas in Communications. Special Issue on Copyright and Privacy Protection 16(4), 474–481 (1998)

    Google Scholar 

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

    Chapter  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. Fridrich, J., Du, R., Meng, L.: Steganalysis of LSB Encoding in Color Images. In: Proceedings IEEE International Conference on Multimedia and Expo ICME 2000, New York (2000)

    Google Scholar 

  6. Provos, N., Honeyman, P.: Detecting Stegnaographic Content on the Internet. CITI Technical Report 03–11 (2001)

    Google Scholar 

  7. Fridrich, J., Goljan, M., Du, R.: Detecting LSB stegangoraphy in color and grayscale images. Magazine of IEEE Multimedia. Special Issue on Security, 22–28 (October- November issue 2001)

    Google Scholar 

  8. 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 

  9. 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 

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Lee, K., Jung, C., Lee, S., Lim, J. (2005). Color Cube Analysis for Detection of LSB Steganography in RGB Color Images. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424826_57

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  • DOI: https://doi.org/10.1007/11424826_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25861-2

  • Online ISBN: 978-3-540-32044-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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