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Statistical Decision Methods in Hidden Information Detection

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Information Hiding (IH 2011)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 6958))

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Abstract

The goal of this paper is to show how the statistical decision theory based on the parametric statistical model of the cover media can be useful in theory and practice of hidden information detection.

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References

  1. Borovkov, A.A.: Mathematical Statistics. Gordon and Breach Sciences Publishers, Amsterdam (1998)

    MATH  Google Scholar 

  2. Cogranne, R., Zitzmann, C., Fillatre, L., Retraint, F., Nikiforov, I., Cornu, P.: A cover image model for reliable steganalysis. In: Filler, T., et al. (eds.) IH 2011. LNCS, vol. 6958, pp. 178–192. Springer, Heidelberg (2011)

    Google Scholar 

  3. Ferguson, T.: Mathematical Statistics: A Decision Theoretic Approach. Academic Press, London (1967)

    MATH  Google Scholar 

  4. Fillatre, L., Nikiforov, I.: A statistical detection of an anomaly from a few noisy tomographic projections. Journal of Applied Signal Processing, Special issue on Advances in Intelligent Vision Systems: Methods and Applications-Part II 14, 2215–2228 (2005)

    MathSciNet  MATH  Google Scholar 

  5. Fillatre, L., Nikiforov, I.: Non-bayesian detection and detectability of anomalies from a few noisy tomographic projections. IEEE Trans. Signal Processing 55(2), 401–413 (2007)

    Article  MathSciNet  Google Scholar 

  6. Fillatre, L., Nikiforov, I., Retraint, F.: ε-optimal non-bayesian anomaly detection for parametric tomography. IEEE Transactions on Image Processing 17(11), 1985–1999 (2008)

    Article  MathSciNet  Google Scholar 

  7. Fridrich, J., Goljan, M.: On estimation of secret message length in LSB steganography in spatial domain. In: Proc. of SPIE, pp. 23–34. Addison-Wesley, Reading (2004)

    Google Scholar 

  8. Ker, A.D.: Locating steganographic payload via WS residuals. In: Proceedings of the 10th ACM Workshop on Multimedia and Security, Oxford, September 22-23, pp. 27–31 (2008)

    Google Scholar 

  9. Ker, A.D., Böhme, R.: Revisiting weighted stego-image steganalysis. In: Delp, E.J., Wong, P.W. (eds.) Proceedings SPIE, Electronic Imaging, Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, San Jose, CA, January 27-31, vol. 6819, pp. 51 – 517 (2008)

    Google Scholar 

  10. Ker, A.D., Pevný, T., Kodovský, J., Fridrich, J.: The square root law of steganographic capacity. In: MM&Sec 2008: Proceedings of the 10th ACM Workshop on Multimedia and Security, pp. 107–116. ACM, New York (2008), http://doi.acm.org/10.1145/1411328.1411349

    Google Scholar 

  11. Le Cam, L.: Asymptotic Methods in Statistical Decision Theory. Series in Statistics. Springer, New York (1986)

    Book  MATH  Google Scholar 

  12. Le Cam, L., Yang, G.L.: Asymptotics in Statistics. Springer, Heidelberg (1990)

    Book  MATH  Google Scholar 

  13. Lehmann, E.: Testing Statistical Hypotheses, 2nd edn. Chapman & Hall, Boca Raton (1986)

    Book  MATH  Google Scholar 

  14. Dabeer, O., Sullivan, K., Madhow, U., Chandrasekaran, S.: Detection of hiding in the least significant bit. IEEE Trans. Signal Processing 52(10), 3047–3058 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  15. Roussas, G.G.: Contiguity of Probability Measures, Some Applications in Statistics. Cambridge University Press, Mass (1972)

    Book  MATH  Google Scholar 

  16. Scharf, L., Friedlander, B.: Matched subspace detectors. IEEE Trans. Signal Processing 42(8), 2146–2157 (1994)

    Article  Google Scholar 

  17. Shiryaev, A.N.: Probability, 2nd edn. Springer, New York (1996)

    Book  MATH  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Zitzmann, C., Cogranne, R., Retraint, F., Nikiforov, I., Fillatre, L., Cornu, P. (2011). Statistical Decision Methods in Hidden Information Detection. In: Filler, T., Pevný, T., Craver, S., Ker, A. (eds) Information Hiding. IH 2011. Lecture Notes in Computer Science, vol 6958. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24178-9_12

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  • DOI: https://doi.org/10.1007/978-3-642-24178-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24177-2

  • Online ISBN: 978-3-642-24178-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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