报告题目：Vehicle Self-Surveillance: Sensor-Enabled Automatic Driver Recognition
报告日期及时间：2016年06月10日星期五，下午3：00
报告地点： 计算机学院大楼B-404
报告人：Yao Liu
报告人国籍：China
报告人单位：University of South Florida, USA
报告人简介：Dr. Yao Liu is an Assistant Professor in the Department of Computer Science and Engineering, University of South Florida. She received her Ph.D in Computer Science from North Carolina State University in 2012. Dr. Liu's research is related to computer and network security, with an emphasis on designing and implementing defense approaches that protect emerging wireless technologies from being undermined by adversaries. Her research interest also lies in the security of cyber-physical systems, especially in smart grid security. Dr. Liu is a senior member of the IEEE, and a 2016 National Science Foundation CAREER awardee.
报告摘要：Motor vehicles are widely used, quite valuable, and often targeted for theft. Preventive measures include car alarms, proximity control, and physical locks, which can be bypassed if the car is left unlocked, or if the thief obtains the keys. Reactive strategies like cameras, motion detectors, human patrolling, and GPS tracking can monitor a vehicle, but may not detect car thefts in a timely manner. Our research discovered a fast automatic driver recognition system that identifies unauthorized drivers while overcoming the drawbacks of previous approaches. We factored drivers' trips into elemental driving events, from which we extract their driving preference features that cannot be exactly reproduced by a thief driving away in the stolen car. The talk will provide a thorough overview about this research discovery.
邀请人： 王骞 教授
