主讲人介绍：Dr. Dong obtained his B.S. and M.S. in Computer Science at Harbin Institute of Technology, Doctor in Engineering at Tsinghua University, and Ph.D. in Computer Science at the University of Minnesota. He joined University of Hawaii in 2003. His current research interests are on computer and network security, big data analytics, real-time control networking, disrtibuted algorithms and applications, and civilian drone security and applications. His past research projects focused on computer and network security and privacy, especially in security and privacy

issues in network design and protocols, cloud computing, smart grid, real-time networks, distributed systems and applications. He has published over 100 refereed research papers in various international journals and conferences. He has also served as associated editors for three international journals, and as organizer and program committee member for many IEEE/ACM/IFIP conferences. His current research is supported by NSF, Air Force Research Lab, and Applied Research Lab. He is currently the Principal investigator of the NSF CyberCorps Service for Scholarship (SFS) program at the UH ($5.2M), the Principal of DHS Center of Academic Excellence in Cyber Defense Research (CAE-R), the Principal of AFRL CSCoPE program at UH for training ROTC cadets in cyber research. 

内容摘要：

 While commerical low-cost small unmanned aerial systems (i.e., drones) have become very popular, they have also been abused in many security incidents. Although a few methods have been developed to deal with such systems,  very little systematical resarch has been conducted to address these issues. In the past few years, we have been explored in this direction, and identified research issues and potential solutions to protect critical assets from malicious drones, e.g., airports, prisons, sport stadiums, etc. In this talk, we will present our recent findings and point out some exciting challenges, including drone identification, remote attacks on onboard sensors, and manipulation of navigation and control algorithms. Our current results have shown some promising solutions and help us shape our future research directions.