Scholarlink

<p>Carrier frequency offset (CFO)-based physical layer authentication in flying Ad-hoc network (FANET) faces security challenges due to the highly dynamic and decentralized nature of the networks. Relying on single-point CFO-based authentication is usually vulnerable to spoofing attacks if the adversary has sufficient knowledge of the channel characteristics and possesses advanced signal processing capabilities. To this end, we propose the CoPhA framework specifically for FANETs, which exploits the physical layer feature CFO as its core factor for collaborative authentication. The framework consists of four main steps: CFO estimation, sharing information among nodes, making collaborative decisions based on node reputation or other factors, and dynamically adjusts to network changes. By integrating CFO-based authentication into a collaborative context, CoPhA enhances authentication performance under various conditions. Simulation results demonstrate that CoPhA consistently outperforms non-collaborative authentication methods, achieving an authentication accuracy of 0.99599 with extremely low false alarm rate and miss detection rate of 0.06357 and 0.00088, respectively. Compared to existing schemes, CoPhA presents a higher potential to secure future FANETs.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Copha: collaborative physical layer authentication for flying Ad-hoc network based on carrier frequency offset

  • 期刊论文

  • 发表日期：

    2025年11月20日

查看全文
  • Yi Yin,
  • Dongmei Zhao,
  • Zhengang Zhao,
  • Junpeng Zhang,
  • Shuiguang Zeng

摘要

Carrier frequency offset (CFO)-based physical layer authentication in flying Ad-hoc network (FANET) faces security challenges due to the highly dynamic and decentralized nature of the networks. Relying on single-point CFO-based authentication is usually vulnerable to spoofing attacks if the adversary has sufficient knowledge of the channel characteristics and possesses advanced signal processing capabilities. To this end, we propose the CoPhA framework specifically for FANETs, which exploits the physical layer feature CFO as its core factor for collaborative authentication. The framework consists of four main steps: CFO estimation, sharing information among nodes, making collaborative decisions based on node reputation or other factors, and dynamically adjusts to network changes. By integrating CFO-based authentication into a collaborative context, CoPhA enhances authentication performance under various conditions. Simulation results demonstrate that CoPhA consistently outperforms non-collaborative authentication methods, achieving an authentication accuracy of 0.99599 with extremely low false alarm rate and miss detection rate of 0.06357 and 0.00088, respectively. Compared to existing schemes, CoPhA presents a higher potential to secure future FANETs.