№1, 2022


Fargana J. Abdullayeva, Orkhan V. Valikhanli

As in other vehicles, unmanned aerial vehicles (UAV) mainly use GPS (Global Positioning System) for the provision of navigation. Non-execution of necessary measures on UAV, availability of the devices used in the process of attack may cause GPS spoofing attack on UAV. The quick detection of the attack plays an important role in obtaining safety precautions. The use of artificial neural networks in the detection of such attacks is very convenient. Therefore, in the article new approach based on convolutional neural network (CNN) method is proposed in order to detect GPS spoofing attack. The new approach has been developed for two different types of UAVs. As a result of conducted experiments, high-accuracy detection of GPS spoofing attack has been provided (pp.3-8).

Keywords: UAV, GPS spoofing, CNN, Intrusion detection system
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