Secure social multimedia content distribution based on social network analysis

Multimedia fingerprinting is an effective technique to trace traitor who redistribute copyrighted social multimedia contents. However, several traitors can make an average collusion attack with their fingerprinted copies to avoid to be traced by digital fingerprints; furthermore, the commercial value of the colluded fingerprinted copy is often time-sensitive in social networks. The earlier the colluded content being redistributed in social network, the more profit the colluder will make from it. In this paper, a new desynchronisation fingerprinting is proposed. Random grid templates are used to produce desynchronised copies. This research has dealt with random distortions due to local geometric transformations of random grid template of image based on chaos, and then the processed fingerprinted content is distributed using social network analysis. The experimental results show that the average collusion will produce collude copy with low commercial value, and although colluders can try to use image registration to resynchronisation with expensive computational cost, and the visual quality does not improve with the increase of the number of copies.