BLIND DECODER FOR BINARY PROBABILISTIC TRAITOR TRACING CODES

Luis Pérez-Freire 1, 2 Teddy Furon 3
3 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper presents a new decoder for probabilistic binary traitor tracing codes which is based on classical hypothesis testing and es- timation theory. This new decoder is blind, in the sense of ignoring a priori the collusion attack it is facing. It basically performs a joint estimation of the collusion channel and the probability that each user takes part in the collusion. The experimental results shown in the pa- per have been obtained with the classical Tardos code, although the proposed decoder works with arbitrary probabilistic binary codes. Another remarkable advantage of this blind decoder is its ability to successfully cope with collusion channels far more general than the classical Marking Assumption, including channels that produce era- sures and random decoding errors.
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Communication dans un congrès
IEEE International Workshop on Information Forensics and Security, Dec 2009, London, United Kingdom. 2009
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Luis Pérez-Freire, Teddy Furon. BLIND DECODER FOR BINARY PROBABILISTIC TRAITOR TRACING CODES. IEEE International Workshop on Information Forensics and Security, Dec 2009, London, United Kingdom. 2009. 〈inria-00505890〉

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