对LoRa网络的攻击与防御技术综述

Survey of attacks and defenses techniques for LoRa network

由于LoRa技术具有通信距离长、功耗低和可扩展性强等优点,LoRa网络已成为低功耗网络(low power wide area network, LPWAN)领域中应用最广泛的技术之一,但其日益增多和丰富的应用场景也给LoRa网络的安全性提出了新的挑战。针对目前有关LoRa网络攻防手段的综述文献缺乏综合性讨论的问题,进行了详细的调研。首先分析了LoRa网络架构,归纳总结了LoRaWAN协议多个版本之间的安全性差异;其次通过对大量文献的研读,分析了针对LoRa网络攻击和防御的相关技术;在此基础上,提出了一种基于生成式AI的抗射频指纹识别机制—GAI-Anti-RFFI;最后对LoRa网络的攻击与防御技术未来可能面临的发展方向进行了分析并提出了展望。

Due to the advantages of LoRa technology such as long communication distance,low power consumption,and strong scalability,LoRa network has become one of the most widely used technologies in the field of low power wide area network(LPWAN).However,its increasing and rich application scenarios also pose new challenges to the security of LoRa network.It conducted a detailed survey to address the lack of comprehensive discussion on current LoRa network attack and defense methods.Firstly,it analyzed the LoRa network architecture,it summarized and the security differences between multiple versions of the LoRaWAN protocol.Secondly,through the study of a large number of documents,it analyzed the related technologies for LoRa network attack and defense.On this basis,it proposed a generative AI-based anti-RF fingerprinting mechanism-GAI-Anti-RFFI.Finally,it analyzed and prospected the possible development directions of LoRa network attack and defense technology in the future.