Synopsis
The popularity of multimedia content has led to the widespread distribution and consumption of digital multimedia data. As a result of the relative ease with which individuals may now alter and repackage digital content, ensuring that media content is employed by authorized users for its intended purpose is becoming an issue of eminent importance to both governmental security and commercial applications. Digital fingerprinting is a class of multimedia forensic technologies to track and identify entities involved in the illegal manipulation and unauthorized usage of multimedia content, thereby protecting the sensitive nature of multimedia data as well as its commercial value after the content has been delivered to a recipient. Multimedia Fingerprinting Forensics for Traitor Tracing covers the essential aspects of research in this emerging technology, and explains the latest development in this field. It describes the framework of multimedia fingerprinting, discusses the challenges that may be faced when enforcing usage polices, and investigates the design of fingerprints that cope with new families of multiuser attacks that may be mounted against media fingerprints. The discussion provided in the book highlights challenging problems as well as future trends in this research field, providing readers with a broader view of the evolution of the young field of multimedia forensics. Topics and features: Comprehensive coverage of digital watermarking and fingerprinting in multimedia forensics for a number of media types.Detailed discussion on challenges in multimedia fingerprinting and analysis of effective multiuser collusion attacks on digital fingerprinting.Thorough investigation of fingerprint design and performance analysis for addressing different application concerns arising in multimedia fingerprinting.Well-organized explanation of problems and solutions, such as order-statistics-based nonlinear collusion attacks, efficient detection and identification of colluders, group-oriented fingerprint design, and anti-collusion codes for multimedia fingerprinting.Presenting the state of the art in collusion-resistant digital fingerprinting for multimedia forensics, this invaluable book is accessible to a wide range of researchers and professionals in the fields of electrical engineering, computer science, information technologies, and digital rights management.
About the Author
K. J. Ray Liu is an associate professor in the Electrical Engineering Department and Institute for Systems Research at the University of Maryland in College Park. Dr. Liu's research interests span all aspects of signal processing with application to image/video, wireless communications, networking, and medical biomedical technology. He has published more than one hundred papers, many of which are in archival journals, books, and book chapters. He has won many awards, including the IEEE Signal Processing Society's Senior Award for Best Paper in VLSI in 1993 and the National Science Foundation Young Investigator Award in 1994. Wade Trappe received his B.A. degree in Mathematics from The University of Texas at Austin in 1994, and the Ph.D. in Applied Mathematics and Scientific Computing from the University of Maryland in 2002. He is currently an assistant professor at the Wireless Information Network Laboratory (WINLAB) and the Electrical and Computer Engineering Department at Rutgers University. His research interests include multimedia security, cryptography, wireless network security, and computer networking. Dr. Trappe is a co-author of the textbook "Introduction to Cryptography with Coding Theory", Prentice Hall, 2001. He is a member of the IEEE Signal Processing, Communication, and Computer societies. Z. Jane Wang is an Assistant Professor in the Electrical and Computer Engineering Department, University of British Columbia, Canada. She received the B.Sc. degree from Tsinghua University, China, in 1996 (with the highest honor), and the M.Sc. and Ph.D. degrees from the University of Connecticut in 2000 and 2002 (with the Outstanding Engineering Doctoral Student Award), respectively, all in electrical engineering. Since Aug. 2004, she has been an Assistant Professor in the Department of Electrical and Computer Engineering at University of British Columbia. Dr. Wang's research interests are in the broad areas of statistical signal processing, information security, wireless communications and genomic signal processing and statistics. Min Wu received the B.E. degree in electrical engineering and the B.A. degree in economics from Tsinghua University, Beijing, China, in 1996 (both with the highest honors), and the M.A. degree and Ph.D. degree in electrical engineering from Princeton University in 1998 and 2001, respectively. Since 2001, she has been an Assistant Professor of the Department of Electrical and Computer Engineering and the Institute of Advanced Computer Studies at the University of Maryland, College Park. Dr. Wu's research interests include information forensics and security, multimedia signal processing, and multimedia communications. She co-authored a book "Multimedia Data Hiding" (Springer-Verlag, 2003) and holds four U.S. patents. She is a member of the IEEE Technical Committees on Multimedia Signal Processing and on Multimedia Systems and Applications. She served as a guest editor of the Special Issue on Media Security and Rights Management for the EURASIP Journal on Applied Signal Processing. Hong Zhao received his B.S, M.S. and Ph.D degrees all in Chemical Engineering from Zhejiang University, China. Since then he has been working in Process Modeling and control R&D for more than 20 years. He had been a visiting associate professor in Technical University of Denmark from 1991-1993, University of Maryland from 1994-1996. He co-authored two books and published more than 20 papers. He holds a US patent and has been working on the development of many Aspen Tech APC products. With Aspen Tech, he developed the Subspace Identification technology, PID Watch product for process monitoring and PID-loop tuning. Currently he is a Senior Technologist of Aspen Technology, Inc.
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