Group-oriented fingerprinting for multimedia forensics
EURASIP Journal on Applied Signal Processing
Regular simplex fingerprints and their optimality properties
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
Collusion-Resistant Video Fingerprinting for Large User Group
IEEE Transactions on Information Forensics and Security
Joint coding and embedding techniques for MultimediaFingerprinting
IEEE Transactions on Information Forensics and Security
On the capacity game of private fingerprinting systems under collusion attacks
IEEE Transactions on Information Theory
Forensic analysis of nonlinear collusion attacks for multimedia fingerprinting
IEEE Transactions on Image Processing
Anti-collusion forensics of multimedia fingerprinting using orthogonal modulation
IEEE Transactions on Image Processing
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We consider the digital fingerprinting problem where colluders apply uniform linear averaging followed by AWGN. For each user, the receiver computes the correlation between the attacked signal and that user's fingerprint, and performs thresholding (focused detection). We model the fingerprinting problem as a multi-user communications problem and develop a detection theoretic framework. Assuming independent colluders, we derive generic exact bit error probability expressions, together with tight bounds, for arbitrary fingerprinting systems. Then, we specialize our results to orthogonal, simplex and Gaussian codes; under MSE distortion constraints on the embedder and the colluders, we compute the optimal detection rule, the resulting minimum bit error probability, the collusion resistance for the aforementioned codes, and compare their performances.