Title: AI and Machine Leaning in Spectrum Sharing Security
Date and Time: January 29, 2021 at 10AM ET
Registration Process: Please register using the following link. You will receive a link in your email to attend the talk online.
Abstract: Dynamic spectrum sharing has been widely considered a key enabler of supporting future wireless networks for massive connectivity and pervasive communications. The complexity and dynamics of the spectrum sharing systems are being exposed to various new attacks, which require novel security and protecting mechanisms that are adaptive, reliable, and scalable. Artificial intelligence and Machine learning based methods have been widely explored to address these issues. In this talk, we will present the recent research advancements in AI/ML based spectrum sharing as well as the corresponding security mechanisms. In particular, we will focus on the state-of-art methodologies for improving the performance of the spectrum sharing communication systems by using AI/ML in different sharing paradigms such as cognitive radio networks, Licensed shared access/spectrum access systems, LTE-U/LAA networks, and ambient backscatter networks. How AI and ML are used to tackle spectrum sharing specific security issues such as primary user emulation attacks, spectrum sensing data falsification attacks, jamming/eavesdrop attacks, privacy issues, as well as how AL/ML can be possibly exploited to launch adversarial attacks in the spectrum sharing systems will be further elaborated. We expect that this talk will highlight the challenges as well as research opportunities in exploring AI and ML techniques to support the ever increasingly important yet complicated spectrum sharing as well as the related security mechanisms.
Bio: Rose Qingyang Hu currently is a Professor of Electrical and Computer Engineering Department and Associate Dean for Research of College of Engineering at Utah State University. Besides more than 12 years’ academia research experience, Prof. Rose Hu has more than 10 years R&D experience with Nortel, Blackberry and Intel as technical manager, senior research scientist, and senior wireless system architect, leading industrial 3G and 4G technology development, 3GPP/IEEE standardization, system level simulation and performance evaluation. Her current research interests include next-generation wireless communications, wireless network design and optimization, Internet of Things and Cyber Physical System, AI/ML, Mobile Edge Computing, wireless security. She has published over 260 papers in leading IEEE journals and conferences and holds over 30 patents in her research areas. Prof. Rose Hu is a Fellow of IEEE, NIST Communication Technology Laboratory Innovator 2020, IEEE Communications Society Distinguished Lecturer 2015-2018, IEEE Vehicular Technology Society Distinguished Lecturer 2020 – 2022, member of Phi Kappa Phi honor society, and recipient of Best Paper Awards from IEEE Globecom 2012, IEEE ICC 2015, IEEE VTC Spring 2016, and IEEE ICC 2016. She serve as TPC Co-Chair for IEEE ICC 2018 and TPC Co-Chair for IEEE Globecom 2023. She is currently serving on the editorial boards for IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Communications Magazine, IEEE Wireless Communications Magazine.
About the Monthly Virtual Seminar Series:
The IEEE TCCN Security Special Interest Group conducts a monthly virtual seminar series to highlight the challenges in securing the next generation (xG) wireless networks. The talks will feature cutting edge research addressing both technical and policy issues to advance the state-of-the-art in security techniques, architectures, and algorithms for wireless communications.