报告一：Rongxing Lu

报告题目：PAMA: A Proactive Approach to Mitigate False Data Injection Attacks in Smart Grids
报告人：   Rongxing Lu   Assistant Professor, University of New Brunswick
主持人：   曹珍富  教授
报告时间：2019年5月21日 周二13:30-15:00 
报告地点：中北校区数学馆201

报告摘要：
The pervasiveness of information and communications technologies as well as intelligent electronic devices leads to an expanded attack surface in smart grids, making it increasingly challenging to withstand the high-profile false data injection (FDI) attacks. In this talk, we discuss a proactive approach to mitigate FDI attacks (PAMA) in smart grids. With PAMA scheme, the critical information - power grid connections and configurations as well as the original measurement data - used for constructing FDI attacks is well protected from leakage or theft, so that FDI attacks are effectively mitigated. Specifically, we transform the state estimation and FDI detection application into a distributed one equipped with converted information from the critical information provided by the control center. In addition, the original measurement data is also protected by using a secure hybrid Paillier cryptosystem. Our PAMA scheme is proved to be secure and effective in mitigating FDI attacks on smart grids. The computational complexity and the communication overhead are evaluated on the standard IEEE 14-bus test system.

报告人简介：
Rongxing Lu (S’99-M’11-SM’15) has been an assistant professor at the Faculty of Computer Science (FCS), University of New Brunswick (UNB), Canada, since August 2016. Before that, he worked as an assistant professor at the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore from April 2013 to August 2016. Rongxing Lu worked as a Postdoctoral Fellow at the University of Waterloo from May 2012 to April 2013. He was awarded the most prestigious “Governor General’s Gold Medal”, when he received his PhD degree from the Department of Electrical & Computer Engineering, University of Waterloo, Canada, in 2012; and won the 8th IEEE Communications Society (ComSoc) Asia Pacific (AP) Outstanding Young Researcher Award, in 2013. Also, Dr. Lu received his PhD degree at Shanghai Jiao Tong University, China, in 2006. He is presently a senior member of IEEE Communications Society. His research interests include applied cryptography, privacy enhancing technologies, and IoT-Big Data security and privacy.  He has published extensively in his areas of expertise (with citation 15,000+ and H-index 61 from Google Scholar as of May 2019), and was the recipient of 9 best (student) paper awards from some reputable journals and conferences. Currently, Dr. Lu currently serves as the Vice-Chair (Publication) of IEEE ComSoc CIS-TC (Communications and Information Security Technical Committee). Dr. Lu is the Winner of 2016-17 Excellence in Teaching Award, FCS, UNB.

报告二：Xiaohui Liang

报告题目：WiVo: Enhancing the Security of Voice Control System via Wireless Signal in IoT Environment
报告人：   Xiaohui Liang  Assistant Professor, University of Massachusetts, Boston
主持人：   曹珍富 教授
报告时间：2019年5月21日 周二13:30-15:00 
报告地点：中北校区数学馆201

报告摘要：
With the prevalent of smart devices and home automations, voice command has become a popular User Interface (UI) channel in the IoT environment. Although Voice Control System (VCS) has the advantages of great convenience, it is extremely vulnerable to the spoofing attack (e.g., replay attack, hidden/inaudible command attack) due to its broadcast nature. In this study, we present WiVo, a device-free voice liveness detection system based on the prevalent wireless signals generated by IoT devices without any additional devices or sensors carried by the users. The basic motivation of WiVo is to distinguish the authentic voice command from a spoofed one via its corresponding mouth motions, which can be captured and recognized by wireless signals. To achieve this goal, WiVo builds a theoretical model to characterize the correlation between wireless signal dynamics and the user’s voice syllables. WiVo extracts the unique features from both voice and wireless signals, and then calculates the consistency between these different types of signals in order to determine whether the voice command is generated by the authentic user of VCS or an adversary. To evaluate the effectiveness of WiVo, we build a testbed based on Samsung SmartThings framework and include WiVo as a new application, which is expected to significantly enhance the security of the existing VCS. We have evaluated WiVo with 6 participants and different voice commands. Experimental evaluation results demonstrate that WiVo achieves the overall 99% detection rate with 1% false accept rate and has a low latency.

报告人简介：
Xiaohui Liang is an Assistant Professor with the Department of Computer Science at University of Massachusetts, Boston (UMB). He was a Postdoctoral Researcher at Dartmouth College in 2014-2015. He received the PhD degree (awarded Outstanding Achievement in Graduate Studies) in Electrical and Computer Engineering, University of Waterloo, Canada, in 2013. He received the BSc (with the University Excellent Undergraduate Thesis Award) and MSc degree (with the Shanghai Excellent Master Thesis Award) in Computer Science from Shanghai Jiao Tong University, China, in 2006 and 2009, respectively. His research interests include networking security, wireless security, and security for mobile systems. He has published over 100 refereed journal and conference papers, and his H-Index is 43 as of March, 2019 according to Google Scholar. He is a member of IEEE and ACM. He received the Award for Excellence in Scalable Computing for Early Career Researchers from IEEE Technical Committee on Scalable Computing in 2017, the Best Land Transportation Paper Award from IEEE Vehicular Technology Society in 2017, the Internet of Things Technology Research Award from Google in 2016, the Best Paper Award in BodyNets 2010. As a student, he received the prestige Ontario Graduate Scholarship from Ontario Government and President’s Graduate Scholarship from the University of Waterloo. Check more details at http://faculty.umb.edu/xiaohui.liang/.