Detecting Spoofing and GPS Jamming in UAVs: Multiclass Approach to Attack Diagnosis
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Date
2024-01-03
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538
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Abstract
As Unmanned Aerial Vehicles (UAVs) become increasingly popular and affordable, it is essential to ensure their safe operation, especially around critical devices such as the aircraft's GPS. GPS plays an indispensable role in aviation systems. This study presents an efficient multiclass detection method to identify GPS attacks on UAVs, focusing on differentiating between spoofing and jamming attacks. The proposed approach outperforms existing methods. The results obtained in this study contribute to increasing the security of UAVs and provide valuable information for developing robust detection systems to combat evolving threats in the UAV domain.
Description
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Cybersecurity in the Age of Artificial Intelligence, AI for Cybersecurity, and Cybersecurity for AI, detection attacks, gps attacks, security failure., smart detection, unmanned aerial vehicles
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10 pages
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Related To
Proceedings of the 57th Hawaii International Conference on System Sciences
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Table of Contents
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Attribution-NonCommercial-NoDerivatives 4.0 International
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