Enhanced Machine Learning Ensemble Approach for Securing Small Unmanned Aerial Vehicles From GPS Spoofing Attacks

Enhanced Machine Learning Ensemble Approach for Securing Small Unmanned Aerial Vehicles From GPS Spoofing Attacks

Unmanned aerial vehicles (UAVs) substantially rely on the utilization of global positioning systems (GPS) to navigate. A simulator for commercial GPS applications with false GPS signals can lead to the deviation of a GPS-guided drone from its planned path. As a result, an anti-spoofing technology is...

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Bibliographic Details
Main Authors: Ala' Abdulmajid Eshmawi, Muhammad Umer, Imran Ashraf, Yongwan Park
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Unmanned aerial vehicles
autonomous vehicles
GPS spoofing
cybersecurity
ensemble machine learning
Online Access:https://ieeexplore.ieee.org/document/10416854/

Internet

https://ieeexplore.ieee.org/document/10416854/

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