An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Digital watermarking
Video Processing and Communications
Video Processing and Communications
Efficient Watermark Detection and Collusion Security
FC '00 Proceedings of the 4th International Conference on Financial Cryptography
Exploiting self-similarities to defeat digital watermarking systems: a case study on still images
Proceedings of the 2004 workshop on Multimedia and security
Group-oriented fingerprinting for multimedia forensics
EURASIP Journal on Applied Signal Processing
Blind pattern matching attack on watermarking systems
IEEE Transactions on Signal Processing
Joint coding and embedding techniques for MultimediaFingerprinting
IEEE Transactions on Information Forensics and Security
Behavior forensics for scalable multiuser collusion: fairness versus effectiveness
IEEE Transactions on Information Forensics and Security
Traitor-Within-Traitor Behavior Forensics: Strategy and Risk Minimization
IEEE Transactions on Information Forensics and Security
Image-adaptive watermarking using visual models
IEEE Journal on Selected Areas in Communications
Some general methods for tampering with watermarks
IEEE Journal on Selected Areas in Communications
Secure spread spectrum watermarking for multimedia
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
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In multimedia social networks, there exists complicated dynamics among users who share and exchange multimedia content. Using multimedia fingerprinting as an example, this paper investigates the human behavior dynamics in the multimedia social networks with side information. Side information is the information other than the colluded multimedia content that can help increase the probability of detection. We study the impact of side information in multimedia fingerprinting and show that the statistical means of the detection statistics can help the fingerprint detector significantly improve the collusion resistance. We then investigate how to probe the side information and model the dynamics between the fingerprint detector and the colluders as a two-stage extensive game with perfect information. We model the colluder-detector behavior dynamics as a two-stage game and find the equilibrium of the colluder-detector game using backward induction and show that the min-max solution is a Nash equilibrium, which gives no incentive for everyone in the multimedia fingerprint social network to deviate. This paper demonstrates that the proposed side information can significantly help improve the system performance to almost the same as the optimal correlation-based detector. Such result opens up a new scope in the research of fingerprinting system that given any fingerprint code, leveraging side information can improve the collusion resistance. Also, we provide the solutions to how to reach optimal collusion strategy and the corresponding detection, thus lead to a better protection of the multimedia content.