@misc{ChitauroBrzozowskiYeneretal., author = {Chitauro, Ronald and Brzozowski, Marcin and Yener, Onur and Langend{\"o}rfer, Peter}, title = {Out of distribution generalization: KPI vs spectrogram based jamming classification in 5G}, series = {2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)}, journal = {2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)}, publisher = {IEEE}, doi = {10.23919/SoftCOM62040.2024.10721712}, pages = {1 -- 6}, language = {en} } @misc{ChitauroBrzozowskiYeneretal., author = {Chitauro, Ronald and Brzozowski, Marcin and Yener, Onur and Langend{\"o}rfer, Peter}, title = {Real-time jamming detection, classification and logging using computer vision in 5G private networks}, series = {2024 19th International Symposium on Wireless Communication Systems (ISWCS)}, journal = {2024 19th International Symposium on Wireless Communication Systems (ISWCS)}, publisher = {IEEE}, doi = {10.1109/ISWCS61526.2024.10639080}, pages = {1 -- 6}, language = {en} } @misc{MykytynChitauroDykaetal., author = {Mykytyn, Pavlo and Chitauro, Ronald and Dyka, Zoya and Langendoerfer, Peter}, title = {Channel state information analysis for jamming attack detection in static and dynamic UAV networks - an experimental study}, series = {2025 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)}, journal = {2025 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {979-8-3315-4372-3}, doi = {10.1109/DCOSS-IoT65416.2025.00060}, pages = {322 -- 327}, abstract = {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.}, language = {en} } @misc{YenerBrzozowskiChitauroetal., author = {Yener, Onur and Brzozowski, Marcin and Chitauro, Ronald and Langend{\"o}rfer, Peter}, title = {Pushing the limits of 5G private networks : a practical examination of network stressors}, series = {2025 International Conference on Computing, Networking and Communications (ICNC)}, journal = {2025 International Conference on Computing, Networking and Communications (ICNC)}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {979-8-3315-2096-0}, doi = {10.1109/ICNC64010.2025.10993913}, pages = {752 -- 756}, abstract = {The adoption of 5G private networks is revolutionizing industrial connectivity, yet it brings numerous challenges that need addressing to ensure safety and reliability. Our research utilizes an OpenAirInterface (OAI) based 5G testbed to explore and mitigate these challenges. We particularly focus on stressors such as jamming to evaluate network resilience. Our methodology involves setting up a comprehensive testbed, collecting data under various stress conditions, and implementing solutions. Initial findings demonstrate that small environmental changes and structural interferences significantly impact network performance. We observed that indoor variables and uplink communication pose substantial challenges, underscoring the need for advanced algorithms to detect and mitigate jamming attacks in dynamic scenarios. Our results highlight the importance of real-time spectrum analysis and adaptive network management in maintaining optimal performance. This study aims to contribute to the development of robust, resilient 5G networks suitable for complex industrial environments.}, language = {en} }