A Comparative Analysis of the Ensemble Models for Detecting GPS Spoofing attacks on UAVs
Author:
Affiliation:
1. University of North Dakota,School of Electrical Engineering and Computer Science,Grand Forks,ND,USA,58202
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9720724/9720434/09720738.pdf?arnumber=9720738
Reference13 articles.
1. Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series
2. Ensemble Learning Methods for Anomaly Intrusion Detection System in Smart Grid
3. Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
4. Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs
5. GPS spoofing detection and mitigation using Cooperative Adaptive Cruise Control system
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3. An Implementation-Based Study of the Detection of and Recovery from GPS Spoofing Attacks for Unmanned Aerial Vehicles;International Journal of Advances in Engineering and Pure Sciences;2024-07-09
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