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

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’...

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Bibliographic Details
Main Authors: Silvio Semanjski, Ivana Semanjski, Wim De Wilde, Alain Muls
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
global navigation satellite system
spoofing
meaconing
support vector machines
principal component analysis
safety-of-life
position-navigation-timing
gps
classification
Online Access:https://www.mdpi.com/1424-8220/20/4/1171

Internet

https://www.mdpi.com/1424-8220/20/4/1171

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