Use of Supervised Machine Learning for GNSS Signal Spoofing Detection with Validation on Real-World Meaconing and Spoofing Data—Part I †

The vulnerability of the Global Navigation Satellite System (GNSS) open service signals to spoofing and meaconing poses a risk to the users of safety-of-life applications. This risk consists of using manipulated GNSS data for generating a position-velocity-timing solution without the user’s system b...

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Detalles Bibliográficos
Autores principales: Semanjski, Silvio, Semanjski, Ivana, De Wilde, Wim, Muls, Alain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070933/
https://www.ncbi.nlm.nih.gov/pubmed/32093342
http://dx.doi.org/10.3390/s20041171

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070933/
https://www.ncbi.nlm.nih.gov/pubmed/32093342
http://dx.doi.org/10.3390/s20041171

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