Cutting-Edge DoS Attack Detection in Drone Networks: Leveraging Machine Learning for Robust Security
This study aims to enhance the security of unmanned aerial vehicles (UAVs) within the Internet of Drones (IoD) ecosystem by detecting and preventing Denial-of-Service (DoS) attacks. We introduce DroneDefender, a web-based intrusion detection system (IDS) that employs machine learning (ML) techniques...
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| Autori principali: | , , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2026-01-01
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| Serie: | Sci |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2413-4155/8/1/20 |
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