Physical Layer Security for 6G Networks

Trung Q. Duong is a Canada Excellence Research Chair at Memorial University of Newfoundland, Canada, and an adjunct professor at Queen's University Belfast, UK. He also holds the prestigious Research Chair of the Royal Academy of Engineering. His current research interests include physical layer security, 5G-6G networks (small-cell networks, ultra-dense networks, UAV, URLLC, caching, energy-harvesting), real-time optimization, data analytics, and machine learning. He has authored or coauthored several books. He is currently serving as an editor for IEEE Transactions on Vehicular Technology and IEEE Wireless Communications Letters. He is the recipient of the prestigious Royal Academy of Engineering Research Fellowship (2016-20), RAEng Research Chair (2021-25) and won the Newton Prize in 2017. He holds a PhD degree in telecommunications systems from Blekinge Institute of Technology, Sweden.Junqing Zhang is a senior lecturer in the Department of Electrical Engineering and Electronics at the University of Liverpool, UK. His research interests include the Internet of Things, wireless security, physical-layer security, key generation, and radio frequency fingerprint identification. He has published 35 journal articles in the wireless security area. He serves as a TPC member for major IEEE conferences. He received his PhD degree in electronics and electrical engineering from Queen's University Belfast, UK.Nan Yang is an associate professor in the School of Engineering at the Australian National University, Australia. His research interests include cyber-physical security, terahertz communications, ultra-reliable low-latency communications, and molecular communications. He serves on the editorial board of IEEE Transactions on Molecular, Biological, and Multi-Scale Communications and IEEE Communications Letters. He received the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2014. He received his PhD degree in electronic engineering from Beijing Institute of Technology, China.Xiangyun Zhou is an associate professor at the School of Engineering, the Australian National University, Australia. His research interests cover communication theory and wireless networks, with over 180 publications to date. He has served as an editor of IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, and IEEE Wireless Communications Letters and as an area editor of IEEE Communications Letters. He is a fellow of the IEEE.Vishal Sharma is a senior lecturer in the School of Electronics, Electrical Engineering and Computer Science (EEECS) at Queen's University Belfast (QUB), Northern Ireland, UK. His areas of interest include defense and security, UAVs, distributed ledger technology, and digital twins. He has authored over 100 journal and conference articles and book chapters, co-edited two books, and won six best paper awards. He served/serves on the editorial board of IEEE Communications Magazine, CAAI Transactions on Intelligence Technology, IET Wireless Communications and Mobile Computing, IET Networks, ICT Express and was the section editor-in-chief of Drones journal. Before coming to QUB, he was a research fellow in the Information Systems Technology and Design (ISTD) Pillar at the Singapore University of Technology and Design (SUTD), Singapore, with Prof. Paweł Szałachowski and Prof. Jianying Zhou, under a project entitled, future-proof blockchain, funded by MoE-Tier 2 grant, Singapore. Before joining SUTD, he worked as a research assistant professor under Industry-Academia Cooperation Foundation in the MobiSec Lab at Soonchunhyang University with research sponsored by ETRI-Korea, NRF-Korea, IITP-Korea, MSITKorea, and AFOSR-USA. He was a postdoctoral researcher with Prof. Ilsun You in the Information Security Engineering Department at Soonchunhyang University in association with Soongsil University, South Korea. Since 2022, he has been affiliated with the Global Innovation Institute as a fellow and works with the Centre for Secure Information Technologies (CSIT) and Centre for Data Science and Scalable Computing (DSSC). He is the director of the Innovation-by-design lab at QUB. He leads the British Computer Society (BCS) Accreditation for QUB and is the Chair of the Computer Science Programme Review Working Group. He is the Northern Ireland Advanced Research and Engineering Centre (ARC) co-investigator. He is a senior member of IEEE and a professional member of ACM.

• Part I: Fundamental theories of physical layer securityChapter 1: Learned codes for dependent wiretap channelsChapter 2: Physical layer security in the terahertz bandChapter 3: Eavesdropping attacks for terahertz wireless linksChapter 4: Intelligent reflecting surface-aided physical layer security of wireless communications Part II: Authentication using channel features and hardware impairmentsChapter 5: Intelligent physical layer authenticationChapter 6: Deep learning-enhanced radio frequency fingerprint identificationChapter 7: Radio frequency fingerprint-based wireless device identification Part III: Key generation from wireless channelsChapter 8: Secret key generation from wireless channelsChapter 9: Impact of reconfigurable intelligent surfaces on physical layer key generation in NextG wireless networksChapter 10: Physical layer key generation for LoRa-enabled networksChapter 11: Robust secret key generation from stochastic fading in the presence of passive and active attackersChapter 12: Physical-layer key generation for multi-user massive MIMO wireless communications Part IV: Applications of physical layer securityChapter 13: Physical layer security for UAV wireless networksChapter 14: Secure communication in mobile edge computing networks with RF energy harvestingChapter 15: Secure and private localization in 6G networksChapter 16: Radio frequency informed physical layer security - an augmented padlock to wireless transmission secrecyChapter 17: Physical layer security for non-orthogonal multiple access toward 6GChapter 18: Detecting unpredictable adversaries in the industrial network with blockchainChapter 19: Using support vector machines for detecting active spoofing attacks