Hierarchical Traceability of multimedia documents

Résumé

The research work of this thesis concerns the traitor tracing context in multimedia distribution platform. This type of applications which involves a great number of connected users need to include a tracing process to prevent media content from copyright infringement and fraud operations. Tracing traitors, or retrieving fraudulous actor in a piracy trial is constrained by important complexity and computational cost which increase with the increase of the number of audience and the number of colluders (the actors in a collusion or piracy attack). The state of the art study has provided us a critical and comparative analysis of the existing approaches and stood out major challenges to be addressed to substantially enhance the accusation rate during the tracing process. The well-known Tardos code provides good detection rates and fair response to the major requirement of a tracing system by being close to the shortest fingerprint code length bound and allowing good detection rates. We continue with the Tardos code by improving its decoding step. The group-based property of our fingerprints offers to reduce the search space of the Tardos code and hence it contributes in enhancing the performance of the tracing process. An interesting characteristic of our fingerprint is its belonging to a hierarchy we propose to construct based on the most features which characterize a digital consumer in a multimedia distribution platform.

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