Ensemble Machine Learning Models Utilizing a Hybrid Recursive Feature Elimination (RFE) Technique for Detecting GPS Spoofing Attacks Against Unmanned Aerial Vehicles

Ensemble Machine Learning Models Utilizing a Hybrid Recursive Feature Elimination (RFE) Technique for Detecting GPS Spoofing Attacks Against Unmanned Aerial Vehicles

The dependency of Unmanned Aerial Vehicles (UAVs), also known as drones, on off-board data, such as control and position data, makes them highly susceptible to serious safety and security threats, including data interceptions, Global Positioning System (GPS) jamming, and spoofing attacks. This indee...

Full description

Saved in:
Bibliographic Details
Main Authors: Raghad Al-Syouf, Omar Y. Aljarrah, Raed Bani-Hani, Abdallah Alma’aitah
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
cyber-attacks
ensemble models
GPS spoofing
machine learning (ML)
intrusion detection system (IDS)
UAVs
Online Access:https://www.mdpi.com/1424-8220/25/8/2388
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items