Improved Hybrid Fingerprint-Based P2P Media Distribution For Privacy Protection

It has been suggested that anonymous fingerprinting could be an easy way to ensure the lawful dissemination of copyright-protected multimedia content without compromising the privacy of customers, whose names would only be revealed in the event of illegal re-distribution of the content. This idea has been put forward as a potential solution to the problem. However, the majority of the currently available anonymous fingerprinting systems are not practical. This is due to the fact that they make use of complicated protocols that take up a lot of time, as well as homomorphic encryption of the data. Furthermore, they distribute the data using a unicast approach, which does not scale well for a large number of clients. The concept of recombined fingerprints serves as the foundation for this body of work, which also makes an effort to overcome some of these restrictions. On the other hand, recommended fingerprint approaches need a complex graph search for traitor monitoring, which in turn demands the participation of additional buyers and honest proxies in their P2P distribution scenario. Getting rid of these issues and developing a fingerprinting system that is not only efficient but also scalable, private, and makes use of P2P technology is the purpose of this research