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.

Jun Han is an Assistant Professor at the National University of Singapore with appointment in the Computer Science Department, School of Computing. His research interests lie at theintersection 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, and HotMobile). He received his Ph.D. from the Electrical and Computer Engineering Department at Carnegie Mellon University as a member of Mobile, Embedded, and Wireless (MEWS) Group. He received his M.S. and B.S. degrees in Electrical and Computer Engineering also at Carnegie Mellon University. Jun also worked as a software engineer at Samsung Electronics.