通过分析无线信道状态信息，实验验证了无人机网络中干扰攻击的检测可行性。
Channel State Information Analysis for Jamming Attack Detection in Static and Dynamic UAV Networks -- An Experimental Study
- 利用ESP32-S3搭建无人机动/地面站通信，采集并分析信道状态信息（CSI）
- 在静态与动态场景下，验证恒定干扰对CSI参数的显著影响
- 为无人机网络提供一种基于实测数据的抗干扰检测新思路，适合网络安全研究者
近年来，基于IEEE 802.11标准的网络迅速发展，广泛应用于智能家居、物联网及短距离高速车载通信。在这些网络中，信道状态信息（CSI）能详细反映传播路径、散射、相位偏移、衰落和功率衰减等综合效应。本文研究静态与动态车载网络中的干扰攻击检测问题，采用ESP32-S3模块构建无人机（UAV）与地面控制站（GCS）之间的通信网络，实验测试恒定干扰对记录的CSI参数的影响，并评估在静态与动态通信场景下通过CSI分析实现干扰检测的可行性。
原文摘要 · Abstract (English)
Networks built on the IEEE 802.11 standard have experienced rapid growth in the last decade. Their field of application is vast, including smart home applications, Internet of Things (IoT), and short-range high throughput static and dynamic inter-vehicular communication networks. Within such networks, Channel State Information (CSI) provides a detailed view of the state of the communication channel and represents the combined effects of multipath propagation, scattering, phase shift, fading, and power decay. In this work, we investigate the problem of jamming attack detection in static and dynamic vehicular networks. We utilize ESP32-S3 modules to set up a communication network between an Unmanned Aerial Vehicle (UAV) and a Ground Control Station (GCS), to experimentally test the combined effects of a constant jammer on recorded CSI parameters, and the feasibility of jamming detection through CSI analysis in static and dynamic communication scenarios.
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