Fingerprinting and forensic analysis of multimedia
Proceedings of the 12th annual ACM international conference on Multimedia
A Performance Evaluation of Collusion Attacks in Multimedia Fingerprinting
MINES '09 Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01
Anti-collusion fingerprinting for multimedia
IEEE Transactions on Signal Processing
Applying informed coding and embedding to design a robust high-capacity watermark
IEEE Transactions on Image Processing
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
A collusion attack optimization strategy for digital fingerprinting
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Issue on Multimedia Security
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The collusion attack is a cost-efficient attack against digital finger-printing where classes of users combine their fingerprinted content for the purpose of attenuating or removing the fingerprints. A recently introduced gradient attack which appeared in ACM MM 2004, demonstrated its efficacy in defeating most spread-spectrum based fingerprints. In this paper, we propose a novel collusion attack strategy, Iterative Optimization Collusion Attack (IOCA), which is based upon the gradient attack and the geometric principal of a Voronoi diagram. The simulation results, under the assumption that orthogonal fingerprints are used, show that the proposed collusion attack performs more effectively than the gradient attack. Less than five fingerprinted pieces of content can sufficiently interrupt orthogonal fingerprints accommodating many thousands of users, meanwhile, high perceptual quality of the attacked content is obtained after the proposed collusion attack.