Advantages and Risks of Sensing for Cyber Physical Security
Jun Han is an Assistant Professor at the National University of Singapore with an appointment in the Department of Computer Science, School of Computing. He founded and directs the Sensing, Embedded, and Network Security Group (SENSG) at NUS. 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 at top-tier venues across various research communities spanning security, sensing systems, and mobile computing (including S&P/Oakland, Usenix Security, CCS, SenSys IPSN). 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.
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 an 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 some of our recent projects that leverage sensor data for attack and defense in various IoT applications. I will also introduce my future research directions such as identifying and defending against unforeseen security challenges from newer application domains including smart homes, buildings, and vehicles.
ZOOM : https://zoom.us/j/8978217407?pwd=d1pOZmF1OWlseEdZRVBpV3VuSkl3dz09
ID : 897 821 7407
PW : 1nTQDY