Resistance of orthogonal Gaussian fingerprints to collusion attacks

Authors:
Z. J. Wang;Min Wu;Hong Zhao;K. J. R. Liu;W. Trappe
Affiliations:
Dept. of Electron. Comput. Eng., Maryland Univ., Baltimore, MD, USA;Dept. of Electron. Comput. Eng., Maryland Univ., Baltimore, MD, USA;Dept. of Electron. Comput. Eng., Maryland Univ., Baltimore, MD, USA;Dept. of Electron. Comput. Eng., Maryland Univ., Baltimore, MD, USA;Signal Process. Program, Inst. for Infocomm Res., Singapore, Singapore
Venue:
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Year:
2003

Citing 4
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Abstract

Digital fingerprinting is a means to offer protection to digital data by which fingerprints embedded in the multimedia are capable of identifying unauthorized use of digital content. A powerful attack that can be employed to reduce this tracing capability is collusion. In this paper, we study the collusion resistance of a fingerprinting system employing Gaussian distributed fingerprints and orthogonal modulation. We propose a likelihood-based approach to estimate the number of colluders, and introduce the thresholding detector for colluder identification. We first analyze the collusion resistance of a system to the average attack by considering the probability of a false negative and the probability of a false positive when identifying colluders. Lower and upper bounds for the maximum number of colluders K/sub max/ are derived. We then show that the detectors are robust to different attacks. We further study different sets of performance criteria.