Professor Min Wu
Department of Electrical and Computer Engineering
Institute for Advanced Computer Studies
Osama bin Laden’s video propaganda prompted numerous information forensic questions: given a video under question, when and where was it shot? Was the sound track captured together at the same time/location as the visual, or superimposed later? Similar questions about the time, location, and integrity of multimedia and other sensor recordings are important to provide evidence and trust in crime solving, journalism, infrastructure monitoring, smart grid management, and other informational operations.
An emerging line of research toward addressing these questions exploits novel signatures induced by the power network. An example is the small random-like fluctuations of the electricity frequency known as the Electric Network Frequency (ENF), owing to the dynamic control process to match the electricity supplies with the demands in the grid. These environmental signatures reflect the attributes and conditions of the power grid and become naturally “embedded” into various types of sensing signals. They carry time and location information and may facilitate integrity verification of the primary sensing data.
This talk will provide an overview of recent information forensics research on ENF carried out by our Media and Security Team (MAST) at UMD, and discuss some on-going and open research issues in this topic area.
Min Wu is a Professor of Electrical and Computer Engineering and a Distinguished Scholar-Teacher at the University of Maryland, College Park. She received her Ph.D. degree in electrical engineering from Princeton University in 2001. At UMD, she leads the Media and Security Team (MAST), with main research interests on information security and forensics and multimedia signal processing. Her research and education have been recognized by a NSF CAREER award, a TR100 Young Innovator Award from the MIT Technology Review Magazine, an ONR Young Investigator Award, a Computer World "40 Under 40" IT Innovator Award, a University of Maryland Invention of the Year Award, an IEEE Mac Van Valkenburg Early Career Early Career Teaching Award, a University of Maryland Robert Kent Junior Faculty Teaching Award, and several paper awards. Dr. Wu chaired the IEEE Technical Committee on Information Forensics and Security (2012-2013) and has served as Vice President - Finance of the IEEE Signal Processing Society (2010-2012) and Technical Program Co-Chair of the 2013 IEEE International Conference on Image Processing. She was elected IEEE Fellow for contributions to multimedia security and forensics.