@conference {18177,
	title = {Collusion-Resistant Dynamic Fingerprinting for Multimedia},
	booktitle = {Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on},
	volume = {2},
	year = {2007},
	month = {2007/04//},
	pages = {II-289 -II-292 - II-289 -II-292},
	abstract = {This paper considers protecting multimedia content from unauthorized redistribution in subscription based services, where adversaries work together to pirate multiple multimedia programs during a subscription period. Collusion-resistant fingerprinting is an emerging tool for traitor tracing. However, most of the existing fingerprinting works did not consider multiple rounds of interaction between collusion and detection. In this paper, we exploit the temporal dimension and propose a dynamic fingerprinting scheme that adjusts the fingerprint design based on the detection result of previously pirated signal. We also examine colluders{\textquoteright} strategies to combat the tracing by dynamic fingerprinting. Both analytical and simulation results show that the proposed dynamic fingerprinting provides better collusion resistance than conventional static fingerprinting},
	keywords = {based, collusion-resistant, communication;security, data;, dimension;traitor, dynamic, fingerprinting;multiple, multimedia, of, piracy;subscription, program, redistribution;multimedia, services;temporal, tracing;unauthorized},
	doi = {10.1109/ICASSP.2007.366229},
	author = {He,Shan and M. Wu}
}
@article {18233,
	title = {Joint coding and embedding techniques for MultimediaFingerprinting},
	journal = {Information Forensics and Security, IEEE Transactions on},
	volume = {1},
	year = {2006},
	month = {2006/06//},
	pages = {231 - 247},
	abstract = {Digital fingerprinting protects multimedia content from illegal redistribution by uniquely marking every copy of the content distributed to each user. The collusion attack is a powerful attack where several different fingerprinted copies of the same content are combined together to attenuate or even remove the fingerprints. One major category of collusion-resistant fingerprinting employs an explicit step of coding. Most existing works on coded fingerprinting mainly focus on the code-level issues and treat the embedding issues through abstract assumptions without examining the overall performance. In this paper, we jointly consider the coding and embedding issues for coded fingerprinting systems and examine their performance in terms of collusion resistance, detection computational complexity, and distribution efficiency. Our studies show that coded fingerprinting has efficient detection but rather low collusion resistance. Taking advantage of joint coding and embedding, we propose a permuted subsegment embedding technique and a group-based joint coding and embedding technique to improve the collusion resistance of coded fingerprinting while maintaining its efficient detection. Experimental results show that the number of colluders that the proposed methods can resist is more than three times as many as that of the conventional coded fingerprinting approaches.},
	keywords = {coding-embedding, coding;, collusion-resistant, complexity;, computational, data;, DETECTION, embedded, EMBEDDING, fingerprinting;, group-based, image, joint, multimedia, of, Security, subsegment, systems;, technique;, techniques;},
	isbn = {1556-6013},
	doi = {10.1109/TIFS.2006.873597},
	author = {He,Shan and M. Wu}
}
@article {18180,
	title = {Collusion-resistant fingerprinting for multimedia},
	journal = {Signal Processing Magazine, IEEE},
	volume = {21},
	year = {2004},
	month = {2004/03//},
	pages = {15 - 27},
	abstract = {Digital fingerprinting is a technology for enforcing digital rights policies whereby unique labels, known as digital fingerprints, are inserted into content prior to distribution. For multimedia content, fingerprints can be embedded using conventional watermarking techniques that are typically concerned with robustness against a variety of attacks mounted by an individual. These attacks, known as multiuser collusion attacks, provide a cost-effective method for attenuating each of the colluder{\textquoteright}s fingerprints and poses a real threat to protecting media data and enforcing usage policies. In this article, we review some major design methodologies for collusion-resistant fingerprinting of multimedia and highlight common and unique issues of different fingerprinting techniques. It also provides detailed discussions on the two major classes of fingerprinting strategies, namely, orthogonal fingerprinting and correlated fingerprinting.},
	keywords = {attacks;, colluder, collusion, collusion-resistant, content;, correlated, data;, digital, fingerprinting;, identification;, multimedia, multiuser, of, orthogonal, policies;, rights, Security, systems;, techniques;, tracing;, watermarking, watermarking;},
	isbn = {1053-5888},
	doi = {10.1109/MSP.2004.1276103},
	author = {M. Wu and Trappe,W. and Wang,Z.J. and Liu,K. J.R}
}
@conference {18190,
	title = {Data hiding in curves for collusion-resistant digital fingerprinting},
	booktitle = {Image Processing, 2004. ICIP {\textquoteright}04. 2004 International Conference on},
	volume = {1},
	year = {2004},
	month = {2004/10//},
	pages = {51 - 54 Vol. 1 - 51 - 54 Vol. 1},
	abstract = {This paper presents a new data hiding method for curves. The proposed algorithm parameterizes a curve using the B-spline model and adds a spread spectrum sequence in the coordinates of the B-spline control points. We demonstrate through experiments the robustness of the proposed data hiding algorithm against printing-and-scanning and collusions, and show its feasibility for collusion-resistant fingerprinting of topographic maps as well as writings/drawings from pen-based input devices.},
	keywords = {(mathematics);, B-spline, coding;, collusion-resistant, CONTROL, data, devices;, digital, document, encapsulation;, extraction;, feature, fingerprinting;, hiding;, image, INPUT, maps;, model;, pen-based, points;, printing-and-scanning, processing;, robustness;, sequence;, spectrum, splines, spread, topographic, watermarking;},
	doi = {10.1109/ICIP.2004.1418687},
	author = {Gou,Hongmei and M. Wu}
}
