Scalable collusion secure fingerprinting for multimedia

Digital fingerprinting is a technique for protecting digital content from being used for illegal purposes and identifying the unauthorized use of digital data. In order to resist the collusion attack, a scalable collusion secure fingerprinting scheme based on the theory of combinatorial designs is presented and can identify all colluders within a group, especially for collusion by linear combination collusion attack. In this paper, we begin by introducing with the typically collusion for fingerprinting strategy, and then construction, embedding and detection of fingerprinting proposed in our paper are presented, and detailed analysis of collusion by averaging and linear combination collusion attack are mentioned as well. In the end, we demonstrate the performance of our fingerprinting strategy for detecting the colluders through experiments with Gaussian signals by using real images.