The proliferation of drones has led to increased security concerns, prompting governments worldwide to develop anti-drone technologies. Recent conflicts, including the Russia-Ukraine and Israel-Hamas wars, have showcased both the deployment of these technologies and the rapid evolution of drones to counter them. This talk presents our research group's comprehensive work on anti-drone technologies, focusing on attacks targeting three critical drone systems: sensing circuits, GPS, and communication channels. We will discuss our "Rocking Drone" [Usenix Security'15] and "Paralyzing Drone" [NDSS'23] attacks on sensing circuits and control algorithms, the "TractorBeam" [TOPS'19] attack on GPS, and various approaches to disrupt drone communications. The presentation will analyze the strengths and limitations of each method, outline key requirements for effective anti-drone systems, and compare existing technologies against these criteria. We will conclude by exploring future directions in anti-drone research and development.
Yongdae Kim (IEEE Fellow) is a Professor in the Department of Electrical Engineering and the Graduate School of Information Security at KAIST, where he heads the Police Science and Technology Research Center. He received his PhD in Computer Science from the University of Southern California in 2002. From 2002 to 2012, he was a professor in the Department of Computer Science and Engineering at the University of Minnesota - Twin Cities. At KAIST, Kim served as Chair Professor from 2013 to 2016 and directed the Cyber Security Research Center from 2018 to 2020. He has served as steering committee chair for NDSS 2024, program committee chair for ACM WiSec 2022, general chair for ACM CCS 2021, and associate editor for ACM TOPS. Kim's research focuses on uncovering vulnerabilities in emerging technologies, particularly drones, self-driving cars, and cellular networks.