报告简介:
In wireless networks, location distinction aims to detect location changes or facilitate authentication of wireless users. To achieve location distinction, recent research has been focused on investigating the spatial uncorrelation property of wireless channels. Specifically, the differences of wireless channel characteristics are used to distinguish locations or identify location changes. However, my students and I discover a new attack against all existing location distinction approaches that are built on the spatial uncorrelation property of wireless channels. In such an attack, the adversary can easily hide her location changes or impersonate movements by injecting fake wireless channel characteristics into a target receiver. To defend against this attack, we propose a detection technique that utilizes an auxiliary receiver or antenna to identify these fake channel characteristics. In this talk, I will introduce the unrevealed attacks and discuss the defense methods.
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's research work has appeared in premier journals and conferences including IEEE Transactions on Mobile Computing, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing, ACM Transactions on Information and Systems Security, IEEE S&P, ACM CCS, MobiCom, and IEEE INFOCOM. She is a recipient of 2016 National Science Foundation CAREER Award.