Risk-Distortion Analysis for Video Collusion Attacks: A Mouse-and-Cat Game

Copyright protection is a key issue for video sharing over public networks. To protect the video content from unauthorized redistribution, digital fingerprinting is commonly used. To develop an efficient collusion-resistant fingerprinting scheme, it is very important for the system designer to understand how the behavior dynamics of colluders affect the performance of collusion attack. In the literature, little effort has been made to explicitly study the relationship between risk, e.g., the probability of the colluders to be detected, and the distortion of the colluded signal. In this paper, we investigate the risk-distortion relationship for the linear video collusion attack with Gaussian fingerprint. We formulate the optimal linear collusion attack as an optimization problem of finding the optimal collusion parameters to minimize the distortion subject to a risk constraint. By varying the risk constraint and solving the corresponding optimization problem, we can derive the optimal r...

• Type: Journal
• Year: 2010
• Where: TIP
• Authors: Yan Chen, W. Sabrina Lin, K. J. Ray Liu
• Keywords: Collusion Attack, Detector, Education, Strategy, TIP 2010