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Secure Physical Layer Communications for Low-Altitude Economy Networking: A Survey

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arxiv 2504.09153 v1 pith:3HIB5BBS submitted 2025-04-12 cs.CR

classification cs.CR
keywords communicationlayerphysicalsecurelaenetsecuritylow-altitudesurvey
verification ladder T0 review T1 audit T2 compute T3 formal
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The Low-Altitude Economy Networking (LAENet) is emerging as a transformative paradigm that enables an integrated and sophisticated communication infrastructure to support aerial vehicles in carrying out a wide range of economic activities within low-altitude airspace. However, the physical layer communications in the LAENet face growing security threats due to inherent characteristics of aerial communication environments, such as signal broadcast nature and channel openness. These challenges highlight the urgent need for safeguarding communication confidentiality, availability, and integrity. In view of the above, this survey comprehensively reviews existing secure countermeasures for physical layer communication in the LAENet. We explore core methods focusing on anti-eavesdropping and authentication for ensuring communication confidentiality. Subsequently, availability-enhancing techniques are thoroughly discussed for anti-jamming and spoofing defense. Then, we review approaches for safeguarding integrity through anomaly detection and injection protection. Furthermore, we discuss future research directions, emphasizing energy-efficient physical layer security, multi-drone collaboration for secure communication, AI-driven security defense strategy, space-air-ground integrated security architecture, and 6G-enabled secure UAV communication. This survey may provide valuable references and new insights for researchers in the field of secure physical layer communication for the LAENet.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization

    cs.LG 2025-10 conditional novelty 5.0 of 10

    A hierarchical ARPO+LLaRA framework that jointly sets image resolution, transmit power, and UAV trajectory reduces simulated latency for onboard VLM inference in low-altitude economy networks.

  2. Collaborative Air-Ground Sensing, Communication, Computing, Storage, and Intelligence for Low-Altitude Economy

    cs.NI 2026-05 unverdicted novelty 4.0 of 10

    The paper proposes a task-driven framework connecting LAE scenarios, air-ground architecture, and SCCSI co-optimization toolboxes for collaborative low-altitude systems.

  3. Low-Altitude Wireless Networks: A Comprehensive Survey

    eess.SP 2025-09 unverdicted novelty 2.0 of 10

    A comprehensive survey on low-altitude wireless network (LAWN) systems covering fundamentals, evolution of designs, performance metrics, privacy and security concerns, and airspace structuring for practical deployment.

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