How can we authenticate a wireless signal when traditional cryptographic keys are not enough? This session dives into physical-layer authentication, a method that uses the “fingerprint” of the wireless channel itself to verify a sender’s identity. We will compare machine learning approaches against classical hypothesis testing to see how they hold up under active spoofing attempts. To bridge theory and practice, we share experimental results from recent deployments in 5G/6G cellular systems and Reconfigurable Intelligent Surfaces (RIS).

About Stefano Tomasin

Stefano Tomasin received the Ph.D. degree from the University of Padova, Italy, in 2003. During his studies, he did internships with IBM Research (Switzerland) and Philips Research (Netherlands). He joined the University of Padova, where he has been Assistant Professor (2005-2015), Associate Professor (2016-2022), and Full Professor (since 2022). He was visiting faculty at Qualcomm, San Diego (CA) in 2004, the Polytechnic University in Brooklyn (NY) in 2007, and the Mathematical and Algorithmic Sciences Laboratory of Huawei in Paris (France) in 2015. His current research interests include physical layer security, security of global navigation satellite systems, signal processing for wireless communications, synchronization, and scheduling of communication resources. He has been a senior member of IEEE since 2011 (member since 1999) and a member of EURASIP since 2011. He is or has been an Editor of the IEEE Transactions on Vehicular Technologies (2011-2016), of the IEEE Transactions on Signal Processing (2017-2020), of the EURASIP Journal of Wireless Communications and Networking (since 2011) and of the IEEE Transactions on Information Forensics and Security (since 2020). He also serves as a Deputy Editor-in-Chief of the IEEE Transactions on Information Forensics and Security since January 2023.

This event will be conducted in English