讲座题目：A Data-driven Network Intelligence System for Cyber Security
摘要：In this talk, we present a data-driven network intelligence system for cyber security. With the support of extended computing, storage and networking resources to the network edge, fog computing is incorporated to the design of the system. The proposed system consists of three types of major components: edge enabled infrastructure, AI engines and decision platforms. Edge enabled infrastructure provides efficient and effective computing resources for parallel computing and data storage. AI engines produce optimal learning models for threat detection, and enable online machine learning for efficient model update. Decision platforms offer real-time network monitoring, anomaly detection, and threat mitigation. We demonstrate that the proposed data-driven network intelligence system achieves high detection accuracy, and provides robust computational performance.
Yi Qian教授个人简历：Yi Qian received a Ph.D. degree in electrical engineering from Clemson University, South Carolina. He is currently a professor in the Department of Electrical and Computer Engineering, University of Nebraska-Lincoln (UNL). Prior to joining UNL, he worked in the telecommunications industry, academia, and government. His research interests include communication networks and systems, and information and communication network security. Prof. Yi Qian is a Fellow of IEEE. He was previously Chair of the IEEE Technical Committee for Communications and Information Security. He was the Technical Program Chair for IEEE International Conference on Communications 2018. He serves on the Editorial Boards of several international journals and magazines, including as the Editor-in-Chief for IEEE Wireless Communications. He was a Distinguished Lecturer for IEEE Vehicular Technology Society. He is currently a Distinguished Lecturer for IEEE Communications Society.