Optimal fingerprint scheme for video on demand using block designs

Video fingerprint is a mechanism to protect movie from the traitors and also have the capability to identify the traitors. The problem arises in video fingerprint when several traitors having the same copies of a movie with different fingerprints collude together. During the collusion the original fingerprints in the movie will be removed or attenuated. Due to this the traitors can illegally copy, duplicate, record or redistribute the movie without having legitimate permissions. To avoid illegitimate acts of the traitors, a new Video on Demand architecture is proposed in this paper. This new architecture combines the proxy caching mechanisms in the peer to peer network to support larger users group. A new video fingerprinting scheme is proposed for this architecture, which can strongly resist against collusion attacks from the traitors. To check the appropriateness of our scheme, we have analyzed some of the existing schemes. The appropriateness is analyzed in terms of efficiency, effectivity and performance. To evaluate the optimality of these schemes, we have carried out simulation for our architecture. The results from the simulation show the optimal outcome for our scheme than any existing schemes.