Fuger, KonradKonradFugerSood, ManavManavSoodKuladinithi, KoojanaKoojanaKuladinithiTimm-Giel, AndreasAndreasTimm-Giel2024-02-062024-02-06202333rd International Telecommunication Networks and Applications Conference (ITNAC 2023)9798350317138https://hdl.handle.net/11420/45502Unmanned Aerial Vehicles (UAVs) hold transformative potential across industries like delivery, surveillance, and maintenance. In urban settings, ensuring safe UAVoperations demands position exchange to prevent collisions and monitor the airspace. This poses the problem that malicious UAV operators could falsify their announced position. Our study evaluates four mechanisms to detect falsified positions, differentiating between autonomous and cooperative approaches. We present a theoretical analysis highlighting the strengths and limitations of these mechanisms, alongside comprehensive simulations. Our results show that the best-performing mechanism needs less than 1 s to detect all malicious nodes present. In addition, this mechanism can detect more than 98 % of falsified packets given a sufficient difference between real and claimed position. Further, we show that the cooperative mechanisms produce a data over-head of less than 30 %. Our work demonstrates the feasibility of position verification for urban UAV networks.enFANETPosition VerificationUAVConference Paper10.1109/ITNAC59571.2023.10368502Conference Paper