Phylogeny-Based Traitor Tracing Method for Interleaving Attacks

Today, the popularity of 3D videos is increasing significantly. This trend can be attributed to their immersive appeal and lifelike experience. In an era dominated by the widespread distribution of digital content, data integrity, and ownership, all of these elements are of crucial importance. In this context, the practice of traitor tracing, closely related to Digital Rights Management (DRM), facilitates the identification and tracking of unauthorized users who have violated copyright in order to share illegal copyright-protected content. In this paper, we propose a solution to this problem, we introduce an innovative traitor tracing approach focused on 3D video, with a particular focus on the DIBR (Depth Image-Based Rendering) format, which can be vulnerable to an Interleaving attack strategy. For this purpose, we develop a new phylogeny tree construction method designed to combat collusion attacks. Our experimental evaluations demonstrate the effectiveness of our proposed approach particularly when applied to long fingerprinting codes. Compared to Tardos’ approach, our method delivers very good results, even for a large number of colluders.