TY - GEN A1 - Mykytyn, Pavlo A1 - Chitauro, Ronald A1 - Dyka, Zoya A1 - Langendoerfer, Peter T1 - Channel state information analysis for jamming attack detection in static and dynamic UAV networks – an experimental study T2 - 2025 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) N2 - Networks built on the IEEE 802.11 standard have experienced rapid growth in the last decade. Their field of application is vast, including smart home applications, Internet of Things (IoT), and short-range high throughput static and dynamic inter-vehicular communication networks. In this work, we conduct an experimental study on the feasibility of jamming attack detection in static and dynamic vehicular networks by using real-time Channel State Information (CSI) analysis of the communication channel. To set up a communication network between an Unmanned Aerial Vehicle (UAV) and a Ground Control Station (GCS), we utilize the ESP32-S3 modules from Espressif Systems. The configured link is then subjected to experimental testing of the constant jammer impact on the CSI parameters, including individual subcarrier amplitude attenuation, phase shift, temporal variation (jitter) and Packet Delivery Ratio (PDR) in static and dynamic conditions. Our study experimentally confirms the feasibility of jamming attack detection through CSI analysis in both static and dynamic communication scenarios. KW - IEEE 802.11 KW - Internet of Things (IoT) KW - UAV KW - Wireless Security KW - CSI KW - Jamming Attack Y1 - 2025 SN - 979-8-3315-4372-3 U6 - https://doi.org/10.1109/DCOSS-IoT65416.2025.00060 SP - 322 EP - 327 PB - IEEE CY - Piscataway, NJ ER -