4 February 2009 Binary forensic code for multimedia signals: resisting minority collusion attacks
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Digital forensic marking is a technology to discourage unauthorized redistribution of multimedia signals by embedding a unique mark into each user's copy of the content. A powerful class of attacks on forensic marking is the collusion attack by a group of users. Recently, a new collusion attack, called the minority attack, has been proposed against forensic marking schemes with correlation-based detectors. Although this attack is not very effective on Gaussian-based forensic marking, it is quite powerful on removing the traces of users when the forensic marking is binary. In this paper, we first study the performance of an ECC-based binary forensic code under the minority attack and we model the additional processing, such as compression, applied on colluded copy as a binary symmetric channel. We confirm that the system can be defeated by a minority attack from only 3 colluders. To resist the minority attack, we propose a row-permuted binary orthogonal code to serve as the inner code for ECC-based forensic code, coupled with an adaptive detector. Experimental results show that the proposed scheme has a significantly improved resistance to a minority attack.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
W. Sabrina Lin, W. Sabrina Lin, Shan He, Shan He, Jeffrey Bloom, Jeffrey Bloom, "Binary forensic code for multimedia signals: resisting minority collusion attacks", Proc. SPIE 7254, Media Forensics and Security, 725411 (4 February 2009); doi: 10.1117/12.816282; https://doi.org/10.1117/12.816282


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