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Towards Joint Tardos Decoding: The 'Don~Quixote' Algorithm

Peter Meerwald 1 Teddy Furon 1 
1 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : 'Don Quixote' is a new accusation process for Tardos traitor tracing codes which is, as far as we know, the first practical implementation of joint decoding. The first key idea is to iteratively prune the list of potential colluders to keep the computational effort tractable while going from single, to pair,\ldots to $t$-subset joint decoding. At the same time, we include users accused in previous iterations as side-information to build a more discriminative test. The second idea, coming from the field of mismatched decoders and compound channels, is to use a linear decoder based on the worst case perceived collusion channel. The decoder is tested under two accusation policies: to catch one colluders and to catch as many colluders as possible. The probability of false positive is controlled thanks to a rare event estimator. We describe a fast implementation supporting millions of users and compare our results with two recent fingerprinting codes.
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Submitted on : Monday, August 25, 2014 - 2:57:30 PM
Last modification on : Wednesday, February 2, 2022 - 3:59:30 PM
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Peter Meerwald, Teddy Furon. Towards Joint Tardos Decoding: The 'Don~Quixote' Algorithm. Information Hiding, May 2011, Prague, Czech Republic. pp.28-42, ⟨10.1007/978-3-642-24178-9_3⟩. ⟨hal-01057832⟩



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