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ISR-affiliated Professor Min Wu (ECE/UMIACS) has won a three-year, $360K NSF Secure and Trustworthy Cyberspace grant for Exploring Power Network Attributes for Information Forensics.
Wu will investigate the scientific and technological foundations of the time, location and integrity of sensor recordings by exploiting novel intrinsic fingerprints in the environment.
For example, such fingerprints include the small, random-like fluctuations of the electricity frequency, known as the Electric Network Frequency (ENF). These environmental fingerprints reflect the attributes and conditions of the power grid and become naturally "embedded" into video, audio or other types of sensor signals at the time of recording. They carry time and location information and may facilitate integrity verification of the primary sensing data.
Answering questions about the time, location, and integrity of sensor recordings will have important applications in crime solving, counter-terrorism, journalism, infrastructure monitoring, smart grid management, and other commercial operations.
Related Articles:
Wu Named AAAS Fellow
Wu Wins 2015 Signal Processing Society Meritorious Service Award
Rubloff, Wu win UMD Invention of the Year Awards
Min Wu is finalist for Invention of the Year
Wu Named Editor-in-Chief of IEEE Signal Processing Magazine
Two ECE Graduate Students Receive Inaugural Kulkarni Fellowship
Min Wu named Distinguished Scholar-Teacher
Student team reaches finals of Qualcomm Innovation Fellowship competition
Min Wu is named a 2012 Innovator of the Year
Wu Invited to National Academies' Annual Presidents' Circle Meeting
August 15, 2013
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