Securing the Sky: Integrated Satellite-UAV Physical Layer Security for Low-Altitude Wireless Networks

TL;DR

This paper proposes a collaborative beamforming physical layer security scheme for integrated satellite-UAV low-altitude wireless networks, enhancing security in high line-of-sight environments through case studies and simulations.

Contribution

It introduces a novel physical layer security approach tailored for satellite-UAV networks in LAWNs, including case studies and practical analysis.

Findings

Effective security enhancement demonstrated through simulations

Applicable to various low-altitude wireless scenarios

Provides a foundation for future security research in LAWNs

Abstract

Low-altitude wireless networks (LAWNs) have garnered significant attention in the forthcoming 6G networks. In LAWNs, satellites with wide coverage and unmanned aerial vehicles (UAVs) with flexible mobility can complement each other to form integrated satellite-UAV networks, providing ubiquitous and high-speed connectivity for low-altitude operations. However, the higher line-of-sight probability in low-altitude airspace increases transmission security concerns. In this work, we present a collaborative beamforming-based physical layer security scheme for LAWNs. We introduce the fundamental aspects of integrated satellite-UAV networks, physical layer security, UAV swarms, and collaborative beamforming for LAWN applications. Following this, we highlight several opportunities for collaborative UAV swarm secure applications enabled by satellite networks, including achieving physical layer security in scenarios involving data dissemination, data relay, eavesdropper collusion, and imperfect eavesdropper information. Next, we detail two case studies: a secure relay system and a two-way aerial secure communication framework specifically designed for LAWN environments. Simulation results demonstrate that these physical layer security schemes are effective and beneficial for secure low-altitude wireless communications. A short practicality analysis shows that the proposed method is applicable to LAWN scenarios. Finally, we discuss current challenges and future research directions for enhancing security in LAWNs.