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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cox, I.J., Miller, M.L., Bloom, J.A.: Digital Watermarking. Morgan-Kaufmann Publishers, San Francisco (2002)
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)
Proakis, J.: Digital Communications, 4th edn. Mc Graw Hill, New York (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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