Resistance analysis of scalable video fingerprinting systems under fair collusion attacks

Digital fingerprinting is an important tool in multimedia forensics to trace traitors and protect multimedia content after decryption. This paper addresses the enforcement of digital rights when distributing multimedia over heterogeneous networks and studies the scalable multimedia fingerprinting systems in which users receive copies of different quality. We investigate the traitor tracing capability of such scalable fingerprinting systems, in particular, the robustness of the embedded fingerprints against multi-user collusion attacks. Under the fairness constraints on collusion that all attackers share the same risk of being captured, we analyze the maximum number of colluders that the fingerprinting systems can withstand, and our results show that multimedia fingerprints can survive collusion attacks by a few dozen colluders.