| Paper: | WP-L4.4 |
| Session: | Security VI |
| Time: | Wednesday, September 19, 15:30 - 15:50 |
| Presentation: |
Lecture
|
| Title: |
MULTI-USER COLLUSION BEHAVIOR FORENSICS: GAME THEORETIC FORMULATION OF FAIRNESS DYNAMICS |
| Authors: |
Wan-Yi Sabrina Lin; University of Maryland, College Park | | |
| | Hong Vicky Zhao; University of Alberta | | |
| | K.J.Ray Liu; University of Maryland, College Park | | |
| Abstract: |
Multi-user collusion is an cost-effective attack against digital fingerprinting, in which a group of attackers collectively undermine the traitor tracing capability of digital fingerprints. However, during multi-user collusion, each colluder wishes to minimize his/her own risk and maximize his/her own profit, and different colluders have different objectives. Thus, an important issue during collusion is to agree on how to distribute the risk/profit among colluders and ensure fairness of the attack. To have a better understanding of the attackers’ behavior during collusion to achieve fairness, this paper models the dynamics among colluders as a non-cooperative game. We then study the Pareto-Optimal set, where no colluder can further increase his/her own payoff without decreasing others’, and analyze the Nash Bargaining solution of this game. |
