Detection of UAV GPS Spoofing Attacks Using a Stacked Ensemble Method

Detection of UAV GPS Spoofing Attacks Using a Stacked Ensemble Method

Unmanned aerial vehicles (UAVs) are vulnerable to global positioning system (GPS) spoofing attacks, which can mislead their navigation systems and result in unpredictable catastrophic consequences. To address this issue, we propose a detection method based on stacked ensemble learning that combines...

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Bibliographic Details
Main Authors: Ting Ma, Xiaofeng Zhang, Zhexin Miao
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Drones
Subjects:
unmanned aerial vehicles (UAVs)
global positioning systems (GPS)
convolutional neural network (CNN)
extreme gradient boosting (XGBoost)
stacked ensemble
synthetic minority oversampling technique (SMOTE)
Online Access:https://www.mdpi.com/2504-446X/9/1/2
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