报告题目：Secure Information Fusion in Cyber-Physical Systems

报告人：莫一林

报告时间：2019年1月25日 上午10:00—11:00

报告地点：南一楼中311

报告摘要：The concept of Cyber-Physical System (CPS) refers to the embedding of sensing, communication, control and computation into the physical spaces. Today, CPSs can be found in areas as diverse as aerospace, automotive, chemical process control, civil infrastructure, energy, health-care, manufacturing and transportation, most of which are safety critical. Any successful attack to such kind of systems can cause major disruptions, leading to great economic losses and may even endanger human lives. The first-ever CPS malware (called Stuxnet) was found in July 2010 and has raised significant concerns about CPS security. In this talk we discuss how to design secure and efficient information fusion algorithms for CPS. We first consider the binary hypothesis testing problem with multiple sensors and design secure algorithm against an unknown set of Byzantine sensors. We further quantify the cost of adding security to the system and prove that our algorithm causes minimum impact on the performance in the absence of an attack. Next we consider the state estimation problem, and prove necessary and sufficient conditions, under which a convex optimization based estimator is secure against Byzantine attacks. Bio: Yilin Mo is an Associate Professor in the Department of Automation, Tsinghua University. He received his Ph.D. In Electrical and Computer Engineering from Carnegie Mellon University in 2012 and his Bachelor of Engineering degree from Department of Automation, Tsinghua University in 2007. Prior to his current position, he was a postdoctoral scholar at Carnegie Mellon University in 2013 and California Institute of Technology from 2013 to 2015. He held an assistant professor position in the School of Electrical and Electronic Engineering at Nanyang Technological University from 2015 to 2018. His research interests include secure control systems and networked control systems, with applications in autonomous driving and sensor networks.

报告人简介：莫一林，清华大学自动系教授。他于2007年在清华大学自动化系获得学士学位，2012年于美国卡内基梅隆大学电子与计算机工程系获得博士学位。加入清华大学之前，他曾于卡内基梅隆大学，加州理工学院进行博士后研究。2015年他加入了新加坡南洋理工大学电子与电机工程学院，任副教授，2018年返回清华大学自动化系任职。他的主要研究方向包括控制系统安全与网络化控制系统，及其在智能电网、机器人与无人驾驶领域的应用。