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Enhanced Blind Decoding of Tardos Codes with New Map-Based Functions

Mathieu Desoubeaux 1 Cédric Herzet 2 William Puech 3 Gaetan Le Guelvouit 4 
2 FLUMINANCE - Fluid Flow Analysis, Description and Control from Image Sequences
CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts, Inria Rennes – Bretagne Atlantique
3 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : This paper presents a new decoder for probabilistic binary traitor tracing codes under the marking assumption. It is based on a binary hypothesis testing rule which integrates a collusion channel relaxation so as to obtain numerical and simple accusation functions. This decoder is blind as no estimation of the collusion channel prior to the accusation is required. Experimentations show that using the proposed decoder gives better performance than the well-known symmetric version of the Tardos decoder for common attack channels.
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Submitted on : Thursday, November 21, 2013 - 3:45:28 PM
Last modification on : Tuesday, October 25, 2022 - 4:22:40 PM
Long-term archiving on: : Saturday, February 22, 2014 - 4:41:16 AM


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  • HAL Id : hal-00907670, version 1


Mathieu Desoubeaux, Cédric Herzet, William Puech, Gaetan Le Guelvouit. Enhanced Blind Decoding of Tardos Codes with New Map-Based Functions. MMSP: Multimedia Signal Processing, Sep 2013, Pula, Italy. pp.283-288. ⟨hal-00907670⟩



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