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AI-driven intrusion detection for UAV in Smart Urban ecosystems: A comprehensive survey | Synapse
March 3, 2026
AI-driven intrusion detection for UAV in Smart Urban ecosystems: A comprehensive survey
AK
Abdullah Khanfor
University of Michigan–Flint
RH
Raby Hamadi
Saudi Electronic University
NL
Noureddine Lasla
National Higher School of Statistics and Applied Economy
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Puntos clave
AI-driven approaches enhance intrusion detection in UAV systems, improving security measures.
A robust anomaly detection framework reduces vulnerabilities in smart urban ecosystems using machine learning techniques.
Observational analysis of existing frameworks shows varying effectiveness across different urban setups and threats.
Significance underscores the need for advanced cybersecurity measures in UAV operations within urban settings.
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Cite This Study
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Khanfor et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75cd0c6e9836116a25ff8
https://doi.org/https://doi.org/10.1016/j.comcom.2026.108435