Digital fingerprints are unique labels inserted in different copies of the same content before distribution. Each digital fingerprint is assigned to an intended recipient, and can be used to trace the culprits who use their content for unintended purposes. Attacks mounted by multiple users, known as collusion attacks, provide a cost-effective method for attenuating the identifying fingerprint from each colluder, thus collusion poses a real challenge to protect the digital media data and enforce usage policies. This paper examines a few major design methodologies for collusion-resistant fingerprinting of multimedia, and presents a unified framework that helps highlight the common issues and the uniqueness of different fingerprinting techniques.
Min Wu, Wade Trappe, Z. Jane Wang, K. J. Ray Liu