AI-driven intrusion detection for UAV in Smart Urban ecosystems: A comprehensive survey

Key Points

• 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.