Nonlinear collusion attacks on independent fingerprints for multimedia

TitleNonlinear collusion attacks on independent fingerprints for multimedia
Publication TypeConference Papers
Year of Publication2003
AuthorsZhao H, M. Wu, Wang ZJ, Liu KJR
Conference NameAcoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Date Published2003/04//
Keywordsattacks;, average, bounded, collusion, computing;, content, copies;, digital, distribution;, fingerprinted, fingerprinting;, fingerprints;, Gaussian, independent, multimedia, nonlinear, perceptual, quality;, robustness;, watermarking;

Digital fingerprinting is a technology for tracing the distribution of multimedia content and protecting them from unauthorized redistribution. Collusion attack is a cost effective attack against digital fingerprinting where several copies with the same content but different fingerprints are combined to remove the original fingerprints. In this paper, we investigate average and nonlinear collusion attacks of independent Gaussian fingerprints and study both their effectiveness and the perceptual quality. We also propose the bounded Gaussian fingerprints to improve the perceptual quality of the fingerprinted copies. We further discuss the tradeoff between the robustness against collusion attacks and the perceptual quality of a fingerprinting system.