GNSS Spoofing Detection by Supervised Machine Learning with Validation on Real-World Meaconing and Spoofing Data—Part II

GNSS Spoofing Detection by Supervised Machine Learning with Validation on Real-World Meaconing and Spoofing Data—Part II

<b> </b>Global Navigation Satellite System (GNSS) meaconing and spoofing are being considered as the key threats to the Safety-of-Life (SoL) applications that mostly rely upon the use of open service (OS) signals without signal or data-level protection. While a number of pre and post cor...

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Bibliographic Details
Main Authors: Silvio Semanjski, Ivana Semanjski, Wim De Wilde, Sidharta Gautama
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
global navigation satellite system
spoofing
meaconing
support vector machines
principal component analysis
model validation
safety-of-life
position-navigation-timing
federated learning
gps
gnss
pnt
svm
sol
Online Access:https://www.mdpi.com/1424-8220/20/7/1806

Internet

https://www.mdpi.com/1424-8220/20/7/1806

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