dc.contributor
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor
Universitat Politècnica de Catalunya. VIRTUOS - Virtualisation and Operating Systems
dc.contributor.author
Jullian Parra, Olivia
dc.contributor.author
Otero Calviño, Beatriz
dc.contributor.author
Stojilovic, Mirjana
dc.contributor.author
Costa Prats, Juan José
dc.contributor.author
Verdú Mulà, Javier
dc.contributor.author
Pajuelo González, Manuel Alejandro
dc.identifier
Jullian, O. [et al.]. Deep learning detection of GPS spoofing. A: International Conference on Machine Learning, Optimization, and Data Science. "Machine Learning, Optimization, and Data Science, 7th International Conference, LOD 2021: Grasmere, UK, October 4-8, 2021: revised selected papers, part I". Springer Nature, 2022, p. 527-540. ISBN 978-3-030-95467-3. DOI 10.1007/978-3-030-95467-3_38.
dc.identifier
978-3-030-95467-3
dc.identifier
https://hdl.handle.net/2117/363000
dc.identifier
10.1007/978-3-030-95467-3_38
dc.description.abstract
Unmanned aerial vehicles (UAVs) are widely deployed in air navigation, where numerous applications use them for safety-of-life and positioning, navigation, and timing tasks. Consequently, GPS spoofing attacks are more and more frequent. The aim of this work is to enhance GPS systems of UAVs, by providing the ability of detecting and preventing spoofing attacks. The proposed solution is based on a multilayer perceptron neural network, which processes the flight parameters and the GPS signals to generate alarms signalling GPS spoofing attacks. The obtained accuracy lies between 83.23% for TEXBAT dataset and 99.93% for MAVLINK dataset.
dc.description.abstract
This work was supported in part by the Catalan Government, through the program 2017-SGR-962 and the RIS3CAT DRAC project
001-P-001723, and by the EPFL, Switzerland.
dc.description.abstract
Peer Reviewed
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Postprint (author's final draft)
dc.format
application/pdf
dc.publisher
Springer Nature
dc.relation
https://link.springer.com/chapter/10.1007/978-3-030-95467-3_38
dc.relation
info:eu-repo/grantAgreement/GENCAT/RIS3CAT/IU16-011643 VIRTUOS P6
dc.subject
Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica
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Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços
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Computer security
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Drone aircraft
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Global Positioning System
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Intrusion detection model
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Unmanned aerial vehicles
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Global navigation satellite system
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Seguretat informàtica
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Avions no tripulats
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Aprenentatge profund
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Sistema de posicionament global
dc.title
Deep learning detection of GPS spoofing
dc.type
Conference report
