TAILIEUCHUNG - Báo cáo hóa học: " Group-Oriented Fingerprinting for Multimedia Forensics"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Group-Oriented Fingerprinting for Multimedia Forensics | EURASIP Journal on Applied Signal Processing 2004 14 2153-2173 2004 Hindawi Publishing Corporation Group-Oriented Fingerprinting for Multimedia Forensics Z. Jane Wang Department of Electrical and Computer Engineering University of British Columbia 2356 Main Mall Vancouver BC Canada V6T1Z4 Email zjanew@ Min Wu Department of Electrical and Computer Engineering and Institute for Systems Research University of Maryland College Park MD 20742 USA Email minwu@ Wade Trappe Wireless Information Network Laboratory WINLAB and the Electrical and Computer Engineering Department Rutgers University NJ 08854-8060 USA Email trappe@ K. J. Ray Liu Department of Electrical and Computer Engineering and Institute for Systems Research University of Maryland College Park MD 20742 USA Email kjrliu@ Received 7 April 2003 Revised 15 September 2003 Digital fingerprinting of multimedia data involves embedding information in the content signal and offers protection to the digital rights of the content by allowing illegitimate usage of the content to be identified by authorized parties. One potential threat to fingerprinting is collusion whereby a group of adversaries combine their individual copies in an attempt to remove the underlying fingerprints. Former studies indicate that collusion attacks based on a few dozen independent copies can confound a fingerprinting system that employs orthogonal modulation. However in practice an adversary is more likely to collude with some users than with other users due to geographic or social circumstances. To take advantage of prior knowledge of the collusion pattern we propose a two-tier group-oriented fingerprinting scheme where users likely to collude with each other are assigned correlated fingerprints. Additionally we extend our construction to represent the natural social and geographic hierarchical relationships between users by developing a more flexible tree-structure-based fingerprinting system. .

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