This comprehensive survey examines anti-UAV security technologies that address critical challenges posed by unauthorized drone operations in sensitive airspace.

• Identifies three core defense objectives: classification, detection, and tracking of UAVs
• Explores cutting-edge methodologies including diffusion-based data synthesis and multi-modal fusion
• Evaluates vision-language modeling, self-supervised learning, and reinforcement learning approaches
• Provides benchmarking frameworks to assess anti-UAV technologies

As drone adoption increases across industries, these security advances are crucial for protecting critical infrastructure, ensuring privacy, and preventing unauthorized surveillance activities.

Securing the Skies: A Comprehensive Survey on Anti-UAV Methods, Benchmarking, and Future Directions