mlsanityData to 14 Oct 2026

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

arXiv 2504.11967 ↗First posted 16 Apr 2025cs.CV cs.AI cs.ROcited by 11

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Abstract (arXiv)

Unmanned Aerial Vehicles (UAVs) are indispensable for infrastructure inspection, surveillance, and related tasks, yet they also introduce critical security challenges. This survey provides a wide-ranging examination of the anti-UAV domain, centering on three core objectives-classification, detection, and tracking-while detailing emerging methodologies such as diffusion-based data synthesis, multi-modal fusion, vision-language modeling, self-supervised learning, and reinforcement learning. We systematically evaluate state-of-the-art solutions across both single-modality and multi-sensor pipelines (spanning RGB, infrared, audio, radar, and RF) and discuss large-scale as well as adversarially oriented benchmarks. Our analysis reveals persistent gaps in real-time performance, stealth detection, and swarm-based scenarios, underscoring pressing needs for robust, adaptive anti-UAV systems. By highlighting open research directions, we aim to foster innovation and guide the development of next-generation defense strategies in an era marked by the extensive use of UAVs.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 64 of its 179 references that are in the map. First posted on arXiv 16 Apr 2025.

Builds on

64 of 179 references.

References · 64

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38 more
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50 most cited of 64 All 64 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 8.

11 papers.

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Close in wording, no citation either way

  1. 2025Agent-Based Anti-Jamming Techniques for UAV Communications in Adversarial Environments: A Comprehensive Survey
  2. 2024Securing the Skies: An IRS-Assisted AoI-Aware Secure Multi-UAV System with Efficient Task Offloading
  3. 2026α3-SecBench: A Large-Scale Evaluation Suite of Security, Resilience, and Trust for LLM-based UAV Agents over 6G Networks
  4. 2025ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks
  5. 2026Toward Active Object Detection for UAVs in the Wild: A Large-Scale Dataset, Benchmark and Method
  6. 2024Enhancing Privacy and Security of Autonomous UAV Navigation
  7. 2024Multi-objective Aerial Collaborative Secure Communication Optimization via Generative Diffusion Model-enabled Deep Reinforcement Learning
  8. 2025UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs