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Title

Quantization-Based Methods: Additive Attacks Performance Analysis

Authors
Pérez-González, Fernando
Published in IEEE Transactions on Signal Processing. 2005
Abstract The main goal of this study consists in the development of the (WCAA) for ∣M∣-ary quantization-based data-hiding methods using as design criteria the error probability and the maximum achievable rate of reliable communications. Our analysis focuses on the practical scheme known as (DC-DM). From the mathematical point of view, the problem of the (WCA) design using probability of error as a cost function is formulated as the maximization of the average probability of error subject to the introduced distortion for a given decoding rule. When mutual information is selected as a cost function, a solution of the minimization problem should provide such an attacking noise probability density function that will maximally decrease the rate of reliable communications for an arbitrary decoder structure. The obtained results demonstrate that, within the class of additive attacks, the developed attack leads to a stronger performance decrease for the considered class of embedding techniques than the additive white Gaussian or uniform noise attacks.
Identifiers
Note Also publ. in: Transactions on Data Hiding and Multimedia Security III Springer, 2008 LNCS 4920 P. 70-90
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Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
Stochastic Information Processing Group
Citation
(ISO format)
VILA FORCEN, Jose Emilio et al. Quantization-Based Methods: Additive Attacks Performance Analysis. In: IEEE Transactions on Signal Processing, 2005. https://archive-ouverte.unige.ch/unige:47510

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Deposited on : 2015-03-03

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