A Digital Fingerprint Coding Based on Turbo Codes

Digital fingerprinting is a technique for identifying unauthorized copy and tracing back to its user. The distributor marks each individual copy with a unique fingerprint. A group of colluders having access to multiple copies with different fingerprints may construct a pirate object with a fingerprint that cannot be traced. In this paper, we propose a new collusion- secure fingerprinting code which is composed of outer Turbo codes and inner codes based on Boneh-Shaw model. The collusion security, code length and performance are proved and analyzed. The results indicate that the proposed scheme has shorter code length and achieves effective traitor-tracing in large scale contents distribution environments.