系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (1): 313-319.doi: 10.12305/j.issn.1001-506X.2022.01.39

• 通信与网络 • 上一篇    下一篇

全双工窃听下的无人机通信保密性能分析

刁丹玉1, 王布宏1,*, 曹堃锐2, 东润泽1, 程天昊1   

  1. 1. 空军工程大学信息与导航学院, 陕西 西安 710077
    2. 国防科技大学信息通信学院, 陕西 西安 710106
  • 收稿日期:2021-03-22 出版日期:2022-01-01 发布日期:2022-01-19
  • 通讯作者: 王布宏
  • 作者简介:刁丹玉(1998—), 女, 硕士研究生, 主要研究方向为无人机物理层安全|王布宏(1975—), 男, 教授, 博士, 主要研究方向为信息物理系统安全、人工智能安全|曹堃锐(1989—), 男, 讲师, 博士, 主要研究方向为无线电能传输、非正交多址、物理层安全|东润泽(1995—),男,博士研究生,主要研究方向为无人机通信系统物理层安全、大规模MIMO物理层安全|程天昊(1996—),男,博士研究生,主要研究方向为无人机通信系统物理层安全
  • 基金资助:
    国家自然科学基金(61671465)

Secrecy performance analysis of UAV-based communications against full-duplex eavesdropping

Danyu DIAO1, Buhong WANG1,*, Kunrui CAO2, Runze DONG1, Tianhao CHENG1   

  1. 1. School of Information and Navigation, Air Force Engineering University, Xi'an 710077, China
    2. School of Information and Communications, National University of Defense Technology, Xi'an 710106, China
  • Received:2021-03-22 Online:2022-01-01 Published:2022-01-19
  • Contact: Buhong WANG

摘要:

针对无人机能量受限且通信易受到窃听攻击的问题, 提出一种基于能量采集的无人机无线供电通信模型, 并分析其在全双工主动窃听下的保密性能。首先, 采用基于仰角的视距和非视距路径损耗模型对地空无线信道进行建模。然后, 将无人机的传输中断概率限制在一个可容忍的最大阈值内, 得到基站的最优编码速率, 进而推导出无人机的保密中断概率的解析闭合表达式。最后, 通过蒙特卡罗仿真验证了理论推导的正确性, 并分析了基站发射功率、能量采集时间因子、环境等因素对无人机通信的安全性的影响, 从而为实际系统设计提供了参考和依据。

关键词: 无人机通信, 物理层安全, 保密中断概率, 全双工主动窃听, 能量采集

Abstract:

Focusing on the problem of unmanned aerial vehicle (UAV) energy limitation and communication vulnerability to eavesdropping attack, a wireless powered UAV communication model based on energy harvesting is proposed, and its secrecy performance under full-duplex proactive eavesdropping is analyzed. Firstly, the line-of-sight (LoS) and non-line-of-sight (NLoS) path loss probabilistic model based on elevation is used to model the ground-air wireless channel. Secondly, the transmission outage probabilities of UAV is limited to a maximum tolerable threshold and the optimal coding rate of the base station is obtained, and then the analytical closed-form expression of UAV's secrecy outage probability is derived. Finally, Monte-Carlo simulations verify the validity of the theoretical derivation, and analyze the influence of base station's transmission power, time factor of energy harvesting, environments and other factors on the security of UAV communication, which provides a guide and basis for the design of actual system.

Key words: unmanned aerial vehicle (UAV) communication, physical layer security, secrecy outage probability, full-duplex proactive eavesdropping, energy harvesting

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