Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications

Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications

Due to Internet of Drones (IoD) technology, drone networks have proliferated, transforming surveillance, logistics, and disaster management. Distributed Denial of Service (DDoS) attacks, malware infections, and communication abnormalities increase cybersecurity dangers to these networks, threatening...

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Bibliographic Details
Main Authors: Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Drones
Subjects:
drone networks
intrusion detection
cybersecurity
anomaly detection
cross-layer attention
machine learning
Online Access:https://www.mdpi.com/2504-446X/9/1/46
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