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多层AI传感器系统用于实时GPS伪造检测和加密UAS控制系统
Ayoub Alsarhan1,2, Bashar S Khassawneh3, Mahmoud AlJamal4
1Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Al-Ahliyya Amman University, Amman 19111, Jordan.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
本研究介绍了一种人工智能驱动的传感器框架,用于检测无人机系统 (UAS) 中的GPS伪造. 该系统确保无人机的安全导航和通信,提高了操作安全.
科学领域:
- 航空航天工程 航空航天工程
- 人工智能的人工智能
- 网络安全 网络安全
背景情况:
- 无人驾驶飞行系统 (UAS) 在民用和国防领域至关重要.
- 依赖未加密的GPS信号使UAS易受欺骗攻击,威胁安全和运营.
研究的目的:
- 引入人工智能驱动的多层传感器框架,用于实时GPS伪造检测,并在UAS中安全控制和控制 (C2).
- 提高遥测可靠性,并在资源有限的UAS平台上实现安全通信.
主要方法:
- 一个精细的预处理管道,具有GPS漂移指数 (GDI),统计规范化,过量采样,卡尔曼过和四过.
- 差分架构搜索 (DARTS) 用于生成轻量级的神经网络,用于内部伪造检测.
- PRESENT-128加密和CMAC认证用于安全的C2通信.
主要成果:
- 该框架实现了卓越的检测准确性 (99.99%),F1得分 (0.999) 和AUC (0.9999).
- 安全的C2通信具有低延迟 (1.79ms) 和能源成本 (0.51mJ).
- 已证明适用于现实世界,资源有限的UAS环境.
结论:
- 由人工智能驱动的框架提供了一个强大,可扩展和安全的解决方案,用于应对自动驾驶飞行器中的GPS伪造.
- 这项研究推进了支持人工智能的传感器系统,以提高无人机导航和安全性.
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