Abstract:
Wireless security has attracted massive attention from academia and industry. There has been exponentially increasing number of wireless devices and pervasive integrations of wireless services into our everyday life. However, due to the broadcast nature of the wireless channels, securing wireless communications is extremely challenging. The security of wireless networks is currently protected by upper-layer cryptographic methods, but recently physical layer-based approaches have emerged as promising means to secure wireless transmissions.
Physical layer security (PLS) exploits the unique and random characteristics of wireless channels such as fading or noise to design secure transmission strategies, extract their randomness for key generation, and leverage the unique channel features for authentication. Over the past few years, PLS has been widely recognized as a key enabling technique for secure wireless communications in future networks. In addition, machine learning and deep learning have shown great potential to enhance PLS.
This workshop aims to bring together practitioners and researchers from both academia and industry for discussion and technical presentations on fundamental and practically relevant questions related to many challenges arising from secure physical layer communications. It also aims to provide the industry with fresh insight into the development of practical PLS in future wireless networks. In line with such objectives, original contributions are solicited on topics of interest to include, but not limited to, the following:
- Artificial intelligence-generated content (AIGC) for PLS
- Large language model (LLM) for PLS
- Application of machine learning and deep learning for PLS
- Secure signal processing
- Fundamental theory of PLS
- Secure advanced spatial diversity techniques (secure cooperative communications, secure two-way cooperative communications, secure multiple-input multiple-output (MIMO) communications and secure cognitive radio systems)
- PLS for the Internet of Things (IoT), 5G and 6G
- Secret key generation and agreement
- Covert and stealth wireless communications
- Physical layer authentication using channel features
- Radio frequency fingerprint identification using hardware impairments
- PLS for massive MIMO systems, unmanned aerial vehicle (UAV)-aided systems, and millimeter wave/THz transmission
- PLS for emerging technologies such as integrated sensing and communications, near-field communications, intelligent reflecting surface, and next-generation multiple access
- Cross-layer designs for security
- Prototype, practical testbeds, and performance evaluation for PLS
Organizers:
- General Chair
- Prof. F. Javier Lopez-Martinez, University of Granada, Spain
- Prof. Nan Yang, Australian National University, Australia
- Technical Program Committee Chairs
- Dr. Junqing Zhang, University of Liverpool, UK
- Dr. Marco Gomes, University of Coimbra, Portugal
- Dr. Onur Günlü, Linköping University, Sweden
- Dr. Guyue Li, Southeast University, China