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Advantages and Risks of Sensing for Cyber-Physical Security
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Speaker (s):
Jun Han
PhD Candidate,
Electrical and Computer Engineering Department,
Carnegie Mellon University
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Date:
Time:
Venue:
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March 16, 2018, Friday
1:30pm - 3:00pm
Meeting Room 5.1, Level 5
School of Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902
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ABSTRACT
With the emergence of the Internet-of-Things (IoT) and Cyber-Physical Systems (CPS), we are witnessing a wealth of exciting applications that enable computational devices to interact with the physical world via overwhelming number of sensors and actuators. However, such interactions pose new challenges to traditional approaches of security and privacy. In this talk, I will present how I utilize sensor data to provide security and privacy protections for IoT/CPS scenarios, and further introduce novel security threats arising from similar sensor data. Specifically, I will highlight three of my recent projects that leverage sensor data for defense and attack scenarios in applications such as smart homes and semi-autonomous vehicles. Furthermore, I will introduce my future research directions such as identifying and defending against unforeseen security challenges from newer application domains such as smart vehicles, buildings, and cities.
About the Speaker
Jun Han is a Ph.D. candidate in the Electrical and Computer Engineering Department at Carnegie Mellon University. His research interests lie at the intersection of sensing systems and security, and focuses on utilizing contextual information for security applications in the Internet-of-Things and Cyber-Physical Systems. He publishes across various research communities spanning security, sensing systems, and mobile computing (including S&P/Oakland, CCS, IPSN, TOSN, HotMobile). Jun is the recipient of the BuildSys’17 Audience Choice Award and HotMobile’17 Best Poster Runner-up Award. He also received a Best Poster Award at the Intel Science & Technology Center for Secure Computing (ISTC): Secure Computing Research for User’s Benefit Summer Retreat’12. In addition, he also assisted his thesis advisor, Professor Patrick Tague, in receiving NSF CPS Breakthrough grant (CNS-1645759). Prior to joining the Ph.D. program, he was a software engineer at Samsung Electronics. Jun received his M.S. and B.S. degrees in Electrical and Computer Engineering at Carnegie Mellon University.
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