Detecting Spoofing and GPS Jamming in UAVs: Multiclass Approach to Attack Diagnosis

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dc.contributor.authorFerrão, Isadora
dc.contributor.authorDa Silva, Leandro
dc.contributor.authorBonilla, Daniel
dc.contributor.authorDezan, Catherine
dc.contributor.authorEspes, David
dc.contributor.authorCastelo Branco, Kalinka
dc.date.accessioned2023-12-26T18:36:14Z
dc.date.available2023-12-26T18:36:14Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.065
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.othere51cea05-9bc3-4cd5-919d-dd9cbb937495
dc.identifier.urihttps://hdl.handle.net/10125/106440
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCybersecurity in the Age of Artificial Intelligence, AI for Cybersecurity, and Cybersecurity for AI
dc.subjectdetection attacks
dc.subjectgps attacks
dc.subjectsecurity failure.
dc.subjectsmart detection
dc.subjectunmanned aerial vehicles
dc.titleDetecting Spoofing and GPS Jamming in UAVs: Multiclass Approach to Attack Diagnosis
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractAs 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.
dcterms.extent10 pages
prism.startingpage538

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