Multimedia content screening using a dual watermarking and fingerprinting system
Proceedings of the tenth ACM international conference on Multimedia
Collusion secure convolutional spread spectrum fingerprinting
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
Anti-collusion fingerprinting for multimedia
IEEE Transactions on Signal Processing
Joint coding and embedding techniques for MultimediaFingerprinting
IEEE Transactions on Information Forensics and Security
Collusion-secure fingerprinting for digital data
IEEE Transactions on Information Theory
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Improved wavelet-based watermarking through pixel-wise masking
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
Iterative Detection Method for CDMA-Based Fingerprinting Scheme
Information Hiding
A study of traceability of CDMA-based fingerprinting scheme
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Impact of rounding error on spread spectrum fingerprinting scheme
IEEE Transactions on Information Forensics and Security
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Digital fingerprinting is a scheme to insert user's own ID information into digital contents in order to identify illegal users who distribute unauthorized copy. One of the important problems is a collusion attack such that several users combine their copies of a same content to modify/delete the embedded fingerprint. In this paper, we propose a collusion-resilient fingerprinting scheme based on the CDMA technique. By combining spread spectrum sequence with orthogonal transform, we allocate the combination of spectrum components to users as their fingerprints. At a detector side, a threshold for the detection of colluded users is determined considering the false positive probability. We then estimate the parameters in the scheme for both optimal embedding and detection, and improve the accuracy of the detection of colluders. Experimental results show the effectiveness of proposed scheme.