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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...

Täydet tiedot

Tallennettuna:
Päätekijät: Albandari Alsumayt, Naya Nagy, Shatha Alsharyofi, Resal Alahmadi, Renad Al-Rabie, Roaa Alesse, Noor Alibrahim, Amal Alahmadi, Fatemah H. Alghamedy, Zeyad Alfawaer
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2026-01-01
Sarja:Sci
Aiheet:
Denial of Service (DoS)
Internet of Drones (IoD)
attacks
detect
machine learning
privacy
Linkit:https://www.mdpi.com/2413-4155/8/1/20
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