Impact of Dataset and Model Parameters on Machine Learning Performance for the Detection of GPS Spoofing Attacks on Unmanned Aerial Vehicles

GPS spoofing attacks are a severe threat to unmanned aerial vehicles. These attacks manipulate the true state of the unmanned aerial vehicles, potentially misleading the system without raising alarms. Several techniques, including machine learning, have been proposed to detect these attacks. Most of...

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Principais autores:	Tala Talaei Khoei, Shereen Ismail, Khair Al Shamaileh, Vijay Kumar Devabhaktuni, Naima Kaabouch
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-12-01
coleção:	Applied Sciences
Assuntos:	unmanned aerial vehicle GPS spoofing attacks machine learning dataset bias hyperparameter tuning dataset imbalance
Acesso em linha:	https://www.mdpi.com/2076-3417/13/1/383
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