Graphic Neural Network based GPS Spoofing Detection for Cellular-Connected UAV swarm

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

74 Lataukset (Pure)


The cellular-connected Unmanned Aerial Vehicles (UAVs) are emerging as integral components of the 5G and beyond system due to their mobility and flexibility. Compared to a traditional single UAV, a flock of UAVs established as a UAV swarm can implement diverse distributed applications economically and efficiently, such as cooperatively smart agriculture, joint search and rescue, and supplementing temporary network connections. However, the GPS spoofing attack can manipulate UAV swarm locations and distort UAV swarm topology, which threatens the security of swarm communication and control. This paper proposes a Graphic Neural Networks (GNN) based GPS spoofing detection approach for cellular-connected UAV swarms. Especially, we propose a system in which the GNN model is used to detect GPS spoofing attacks by analyzing the similarity between the swarm GPS topology and communications topology. To evaluate the proposed neural networks, we use a bipartite graph and Hungarian algorithm to build a UAV swarm simulator. The results show that GNN can efficiently compute topologies’ similarity and detect GPS spoofing attacks. For instance, for a UAV swarm consisting of 10 UAVs, GNN detects the spoofing with accuracy over 90% and computation time of fewer than 10 milliseconds using Intel Core 1.6 GHz processor.
Otsikko2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
ISBN (elektroninen)979-8-3503-1114-3
ISBN (painettu)979-8-3503-1115-0
DOI - pysyväislinkit
TilaJulkaistu - 23 kesäk. 2023
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE Vehicular Technology Conference - Florence, Italy, Florence, Italia
Kesto: 20 kesäk. 202323 kesäk. 2023
Konferenssinumero: 97


NimiIEEE Vehicular Technology Conference
ISSN (elektroninen)2577-2465


ConferenceIEEE Vehicular Technology Conference


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