Toward Adaptive Intrusion Detection Systems for UAVs Using Cyber-Physical Image Analysis

Toward Adaptive Intrusion Detection Systems for UAVs Using Cyber-Physical Image Analysis

<p dir="ltr">The rapid proliferation of uncrewed aerial vehicles (UAVs) across modern applications has significantly heightened their susceptibility to cyber and physical security threats. Despite the growing body of research on intrusion detection systems (IDS) for UAVs, many existi...

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Bibliographic Details
Main Author: Hanane Amirat (23126110) (author)
Other Authors: Mohammed Abdelhadi Sellami (23126113) (author), Mohammed Lamine Ben Habirech (23126116) (author), Samir Brahim Belhaouari (9427347) (author)
Published: 2025
Subjects:
Information and computing sciences
Artificial intelligence
Cybersecurity and privacy
Machine learning
CNN
cyber and physical features
data imbalancing
dual-GAF
image transformation
intrusion detection
SMOTE
UAV
Autonomous aerial vehicles
Feature extraction
Drones
Security
Convolutional neural networks
Training
Accuracy
Threat assessment
Robustness
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