SCER Spoofing Attacks on the Galileo Open Service and Machine Learning Techniques for End-User Protection

SCER Spoofing Attacks on the Galileo Open Service and Machine Learning Techniques for End-User Protection

Spoofing attacks pose a clear cybersecurity risk for all systems relying on Global Navigation Satellite Systems (GNSS) for time synchronization or positioning. Secure Code Estimation and Replay (SCER) spoofing attacks are the most challenging type of spoofing attacks, as these may be problematic eve...

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Bibliographic Details
Main Authors: Francisco Gallardo, Antonio Perez Yuste
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cybersecurity
Galileo
GNSS authentication
GNSS security
machine learning
SCER
Online Access:https://ieeexplore.ieee.org/document/9085417/

Internet

https://ieeexplore.ieee.org/document/9085417/

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