Flying Drones to Locate Cyber-Attackers in LoRaWAN Metropolitan Networks
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866912594576539648 |
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| author | Repetto, Matteo Cambiaso, Enrico Patrone, Fabio Zappatore, Sandro |
| author_facet | Repetto, Matteo Cambiaso, Enrico Patrone, Fabio Zappatore, Sandro |
| contents | Today, many critical services and industrial systems rely on wireless networks for interaction with the IoT, hence becoming vulnerable to a broad number of cyber-threats. While detecting this kind of attacks is not difficult with common cyber-security tools, and even trivial for jamming, finding their origin and identifying culprits is almost impossible today, yet indispensable to stop them, especially when attacks are generated with portable or self-made devices that continuously move around. To address this open challenge, the FOLLOWME project investigates the feasibility of using UAV to locate and even chase attackers during illicit usage of the radio spectrum. The main objective is to develop a cyber-physical security framework that integrates network telemetry with wireless localization. The former triggers alarms in case of anomalies or known attack patterns and provides a coarse-grained indication of the physical area (i.e., the position of affected access gateways), whereas the latter systematically scans such area to identify the exact location of the attacker. The project will specifically address long-range metropolitan area networks and focus on the LoRaWAN protocol, which is the typical scenario for Smart City services. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_15725 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Flying Drones to Locate Cyber-Attackers in LoRaWAN Metropolitan Networks Repetto, Matteo Cambiaso, Enrico Patrone, Fabio Zappatore, Sandro Cryptography and Security Networking and Internet Architecture Today, many critical services and industrial systems rely on wireless networks for interaction with the IoT, hence becoming vulnerable to a broad number of cyber-threats. While detecting this kind of attacks is not difficult with common cyber-security tools, and even trivial for jamming, finding their origin and identifying culprits is almost impossible today, yet indispensable to stop them, especially when attacks are generated with portable or self-made devices that continuously move around. To address this open challenge, the FOLLOWME project investigates the feasibility of using UAV to locate and even chase attackers during illicit usage of the radio spectrum. The main objective is to develop a cyber-physical security framework that integrates network telemetry with wireless localization. The former triggers alarms in case of anomalies or known attack patterns and provides a coarse-grained indication of the physical area (i.e., the position of affected access gateways), whereas the latter systematically scans such area to identify the exact location of the attacker. The project will specifically address long-range metropolitan area networks and focus on the LoRaWAN protocol, which is the typical scenario for Smart City services. |
| title | Flying Drones to Locate Cyber-Attackers in LoRaWAN Metropolitan Networks |
| topic | Cryptography and Security Networking and Internet Architecture |
| url | https://arxiv.org/abs/2509.15725 |