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Hardware based Lightweight Authentication in the Smart World

發布日期:2018-07-05 瀏覽量🏇🏼:81

專用集成電路與系統國家重點實驗室
講座信息:Hardware based Lightweight Authentication in the Smart World

 

時 間🪒🤬:2018年7月6日周五下午2:00
地 點🏖🧗🏻:張江微電子樓389室

 

Abstract: 
In many embedded systems and the Internet of Things (IoT) applications, resources like CPU, memory,and battery power are limited that they cannot afford the classic cryptographic security solutions. Meanwhile, the security requirement on these systems/devices is not as high as the traditional secure systems. In this talk, we use authentication as an example to demonstrate how hardware and physical characteristics can help to build lightweight security primitives such as authentication protocols. More specifically, we will report our recent work that utilizes the traditional CMOS and the emerging RRAM technologies, as well as voltage over scaling (VoS) technique for user and device authentication. These practical approaches are promising alternatives for the classical crypto-based authentication protocols for the embedded and IoT devices in the smart world.

 

Bio: 
Gang Qu 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.

 

聯系人:來金梅

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