Watermarking attack: security of WSS techniques

François Cayre 1 Caroline Fontaine 2 Teddy Furon 1
1 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Most of watermarking techniques are based on Wide Spread Spectrum (WSS). Security of such schemes is studied here in adopting a cryptanalysis point of view. The security is proportional to the difficulty the opponent has to recover the secret parameters, which are, in WSS watermarking scheme, the private carriers. Both theoretical and practical points of view are investigated when several pieces of content are watermarked with the same secret key. The opponent's difficulty is measured by the amount of data necessary to estimate accurately the private carriers, and also by the complexity of the estimation algorithms. Actually, Blind Source Separation algorithms really help the opponent exploiting the information leakage to disclose the secret carriers. The article ends with experiments comparing blind attacks to these new hacks. The main goal of the article is to warn watermarkers that embedding hidden messages with the same secret key might is a dangerous security flaws.
Type de document :
Communication dans un congrès
Ingemar Cox, Ton Kalker, and Heung-Kyu Lee. International Workshop on Digital Watermarking, Oct 2004, Seoul, South Corea, South Korea. Springer-Verlag, 3304, pp.171--183, 2004, Lecture Notes in Computer Science
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Contributeur : Teddy Furon <>
Soumis le : jeudi 29 juin 2006 - 17:05:23
Dernière modification le : mercredi 11 avril 2018 - 01:51:08
Document(s) archivé(s) le : lundi 5 avril 2010 - 21:41:47

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  • HAL Id : inria-00083194, version 1

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François Cayre, Caroline Fontaine, Teddy Furon. Watermarking attack: security of WSS techniques. Ingemar Cox, Ton Kalker, and Heung-Kyu Lee. International Workshop on Digital Watermarking, Oct 2004, Seoul, South Corea, South Korea. Springer-Verlag, 3304, pp.171--183, 2004, Lecture Notes in Computer Science. 〈inria-00083194〉

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