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IEEE Transactions on Information Theory
Article . 2000 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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On random coding error exponents of watermarking systems

Authors: Merhav, Neri;

On random coding error exponents of watermarking systems

Abstract

Summary: Watermarking codes are analyzed from an information-theoretic viewpoint as a game between an information hider and an active attacker. While the information hider embeds a secret message (watermark) in a covertext message (typically: text, image, sound, or video stream) within a certain distortion level, the attacker processes the resulting watermarked message, within limited additional distortion, in an attempt to invalidate the watermark. For the case where the covertext source is memoryless (or, more generally, where there exists some transformation that makes it memoryless), we provide a single-letter characterization of the maximin game of the random coding error exponent associated with the average probability of erroneously decoding the watermark. This single-letter characterization is in effect because if the information hider utilizes a memoryless channel to generate random codewords for every covertext message, the (causal) attacker will maximize the damage by implementing a memoryless channel as well. Partial results for the dual minimax game and the conditions for the existence of a saddle point are also presented.

Keywords

Coding theorems (Shannon theory), error exponent, random coding, watermarking, steganography, Error probability in coding theory, information hiding, Channel models (including quantum) in information and communication theory, Authentication, digital signatures and secret sharing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 1%
Top 10%
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