Instance-based Supervised Machine Learning Models for Detecting GPS Spoofing Attacks on UAS
Author:
Affiliation:
1. School of Electrical Engineering and Computer Science, University of North Dakota,Grand Forks,ND,USA,58202
Funder
National Science Foundation (NSF)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9720724/9720434/09720888.pdf?arnumber=9720888
Reference20 articles.
1. Synchronization-Free GPS Spoofing Detection with Crowdsourced Air Traffic Control Data
2. Detecting Signal Spoofing Attack in UAVs Using Machine Learning Models
3. SCER Spoofing Attacks on the Galileo Open Service and Machine Learning Techniques for End-User Protection
4. Tree-based Supervised Machine Learning Models For Detecting GPS Spoofing Attacks on UAS
5. Multi-test detection and protection algorithm against spoofing attacks on GNSS receivers
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