TIME-SENSITIVE BEHAVIOR DYNAMICS IN MULTIMEDIA FINGERPRINTING SOCIAL NETWORKS

Multimedia social network is a network infrastructure in which the social network members share multimedia contents with all different purposes. Analyzing user behavior in multimedia social networks help design more secured and efficient multimedia and networking systems. In this paper, we focus on the colluder social network in multimedia fingerprinting systems in which colluders gain reward by redistributing the colluded multimedia signal. However, the market value of the redistributed multimedia content is time sensitive. The earlier the: colluded copy being released, the more the people who are willing to pay for it. Thus the colluders have to reach agreement on how to distribute reward and the probability being detected among themselves as soon as possible. This paper incorporates the time-sensitiveness of the colluders' reward, and models the dynamics among colluders as a noncooperative game, and studies the time-restricted bargaining equilibrium. We provide the solution to the equilibrium that all the colluders have no inventive to disagree in order to maximize their own payoff.