ICIP 2006, Atlanta, GA

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Paper Detail

Time:Wednesday, October 11, 10:20 - 10:40
Presentation: Lecture
Topic: Security: Forensics
Authors: W. Sabrina Lin; University of Maryland 
 H. Vicky Zhao; University of Maryland 
 K. J. Ray Liu; University of Maryland 
Abstract: Digital fingerprinting uniquely labels each distributed copy with user's ID and provides a proactive means to track the distribution of multimedia. Multi-user collusion is a powerful attack against digital fingerprinting, in which a group of attackers collectively mount attacks to remove the embedded identification information. To resist such multi-user collusion and support multimedia forensics, this paper investigates the side information based multimedia fingerprinting. We explore techniques to utilize side information of collusion attacks during colluder identification process, and show that the means of the detection statistics at the detector's side can significantly improve the traitor tracing capability. We also investigate how the fingerprint detector can probe such side information from the colluded copy, and our simulation results show that the proposed scheme helps the fingerprint detector achieve the optimum detection performance.