On July 5th, Prof. QU Gang delivered a lecture entitled “Hardware based Lightweight Authentication for IoT Applications in the Smart World” to EE students at Yuquan Campus, Zhejiang University.The international students from Renewable Summer School also attended the lecture.
In the lecture, Prof. QU used authentication as an example to demonstrate how hardware and physical characteristics can help to build lightweight security primitives such as authentication protocols. Meanwhile, he reported his recent work that utilizes the traditional CMOS and the emerging RRAM technologies, as well as voltage over scaling (VoS) technique for user, device, and data (e.g. GPS signals) authentication. And he mentioned these practical approaches are promising alternatives for the classical crypto-based authentication protocols for the embedded and IoT devices in the smart world.
About the speaker:
QU Gang received his B.S. in mathematics from the University of Science and Technology of China (USTC) and Ph.D. in computer science in the University of California, Los Angeles (UCLA). He is currently a professor in the Department of Electrical and Computer Engineering at the University of Maryland, College Park, where he leads the Maryland Embedded Systems and Hardware Security Lab (MeshSec) and the Wireless Sensor Laboratory. The book based on his Ph.D. dissertation "Intellectual Property Protection in VLSI Designs: Theory and Practice" is the first in the field of VLSI IP protection, one major challenge in hardware security. His recent research activities are on trusted integrated circuit design, design IP protection, nano-scale hardware security primitives, and their applications in the Internet of Things. He is also known for his work on wireless sensor networks, low power and energy efficient design by dynamic voltage scaling. He has published about 200 conference papers and journal articles on these topics. Dr. Qu is an enthusiastic teacher, he has taught and co-taught various security courses, including a popular MOOC on Hardware Security through Coursera.
