Collusion-secure fingerprinting for digital data
IEEE Transactions on Information Theory
Image-adaptive watermarking using visual models
IEEE Journal on Selected Areas in Communications
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
An improved attack analysis on a public-key spread spectrum watermarking
Proceedings of the 2004 workshop on Multimedia and security
Statistically secure extension of anti-collusion code fingerprinting
ICDCIT'05 Proceedings of the Second international conference on Distributed Computing and Internet Technology
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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.