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Worst Case Additive Attack against Quantization-Based Watermarking Techniques

By Jose Emilio Vila Forcen, Svyatoslav Voloshynovskyy, Oleksiy Koval, F. Perez-Gonzalez and Thierry Pun


In the scope of quantization-based watermarking techniques and additive attacks, there exists a common belief that the worst case attack (WCA) is given by additive white Gaussian noise (AWGN). Nevertheless, it has not been proved that the AWGN is indeed the WCA within the class of additive attacks against quantization-based watermarking. In this paper, the analysis of the WCA is theoretically developed with probability of error as a cost function. The adopted approach includes the possibility of masking the attack by a target probability density function (PDF) in order to trick smart decoding. The developed attack upper bounds the probability of error for quantization-based embedding schemes within the class of additive attacks

Topics: AWGN, Probability, quantisation (signal), watermarking
Publisher: 'Institute of Electrical and Electronics Engineers (IEEE)'
Year: 2004
DOI identifier: 10.1109/MMSP.2004.1436441
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Provided by: Archive ouverte UNIGE
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