Title: Real-time Data Security for Complex Networks
Abstract: Today’s complex networks exhibit new security challenges, such as security-by-design issues, low-latency requirements, system and attack dynamics, unknown probability distributions, and distributed nature. In this talk, we focus on two prominent examples of today’s complex networks: smart grid, and IoT networks. We discuss (i) first how to protect data in complex systems from unauthorized access and manipulation; (ii) then how to timely detect and mitigate the attacks in case the system is under attack; (iii) and finally, how to deal with resource constraints in securing complex systems. For (i), we present novel secure system designs based on the blockchain technology to prevent malicious data manipulations in network databases and data exchanges over network. For (ii), we discuss the scenario where adversaries may realize their attacks, e.g., corrupt meter measurements via hacking smart meters in smart grid, and investigate model-based and model-free strategies for timely anomaly detection. Finally, for (iii), under resource constraints common to decentralized systems, such as energy and communication bandwidth constraints, we present event-triggered sampling methods to effectively summarize observed local data, and at the same time achieve accurate and timely detection.
Biography: Xiaodong Wang is a professor of electrical engineering at Columbia Engineering. His research interests fall in the general areas of computing, signal processing, and communications, and he has published extensively in these areas. Among his publications is a recent book entitled, Wireless Communication Systems: Advanced Techniques for Signal Reception, published by Prentice Hall in 2003. He received the 1999 NSF CAREER Award, and the 2001 Institute of Electrical and Electronics Engineers (IEEE) Communications Society and Information Theory Society Joint Paper Award. He has served as an associate editor for the IEEE Transactions on Communications, the IEEE Transactions on Wireless Communications, the IEEE Transactions on Signal Processing, and the IEEE Transactions on Information Theory. He is a fellow of the IEEE and listed as an ISI Highly-cited Author. Wang received his Ph.D. in electrical engineering from Princeton University.
