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Digital Watermarking under a Filtering and Additive Noise Attack Condition

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2776))

Abstract

We consider a private zero-bit watermark (WM) system in which an unauthorized removal of the WM is restricted by a linear filtering of the watermarked message combined with additive noise attack. It is assumed that a WM detector knows both the original cover message (CM) and the pulse (or frequency) response of the attack filter. The formulas to calculate the WM-missing and WM-false alarm probabilities are developed and proved. We conclude that whenever some filtering of the watermarked message is yet acceptable with respect to CM quality then there results in a degradation of the WM system even if the designer of the WM uses an optimal signal. This fact is different than most that can be found at current WM literature. The main properties of a WM system under a filtering and additive noise attack condition are confirmed by simulations of the watermarked images.

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References

  1. Cox, I.J., Miller, M.L., Bloom, J.A.: Digital Watermarking. Morgan-Kaufmann Publishers, San Francisco (2002)

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  2. Korjik, V., Morales-Luna, G., Marakov, D., Marakova, I.: A performance evaluation of digital private watermarking under an additive noise condition. In: Proc. VII Spanish Conf. on Cryptology and Information Security, U. Oviedo, pp. 461–470 (2002)

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  3. Proakis, J.: Digital Communications, 4th edn. Mc Graw Hill, New York (2001)

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© 2003 Springer-Verlag Berlin Heidelberg

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Korzhik, V., Morales-Luna, G., Marakova, I., Patiño-Ruvalcaba, C. (2003). Digital Watermarking under a Filtering and Additive Noise Attack Condition. 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_32

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  • DOI: https://doi.org/10.1007/978-3-540-45215-7_32

  • 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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