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Décodage EM du code de Tardos pour le fingerprinting

Ana Charpentier 1 Caroline Fontaine 2, 3 Teddy Furon 1
1 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 Lab-STICC_TB_CID_SFIIS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192)
Abstract : This paper presents our recent work on multimedia fingerprinting, also known as traitor tracing. We focus on deriving a better accusation process for the well known Tardos codes, designed to identify dishonest users who redistributed illegally a piece of content. It appears that Tardos orginal decoding is very conservative: its performances are guaranteed whatever the collusion strategy. Indeed, major improvements stem from the knowledge of the collusion strategy. Therefore, this paper investigates how it is possible to learn and adapt to the collusion strategy. Our solution is based on an iterative algorithm a la EM, where a better estimation of the collusion strategy yields a better tracing of the colluders, which in return yields a better estimation of the collusion strategy etc.
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https://hal.archives-ouvertes.fr/hal-00704157
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Submitted on : Monday, June 4, 2012 - 9:31:21 PM
Last modification on : Monday, November 22, 2021 - 6:42:03 PM

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Ana Charpentier, Caroline Fontaine, Teddy Furon. Décodage EM du code de Tardos pour le fingerprinting. Traitement du Signal, Lavoisier, 2010, 27 (2), pp.127 - 147. ⟨10.3166/ts.27.127-146⟩. ⟨hal-00704157⟩

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