The increase of cyberattacks using IoT devices has exposed the vulnerabilities in the infrastructures that make up the IoT and have shown how small devices can affect networks and services functioning. This paper presents a review of the vulnerabilities of the wireless technologies that bear the IoT and assessing the experiences in implementing wireless attacks targeting the Internet of Things using Software-Defined Radio (SDR) technologies. A systematic literature review was conducted. The types of vulnerabilities and attacks that can affect the wireless technologies that stand the IoT ecosystem and SDR radio platforms were compared. On the IoT system model layer, perception layer was identified as the most vulnerable. Most attacks at this level occur due to limitations in hardware, physical exposure of devices, and heterogeneity of technologies. Future cybersecurity systems based on SDR radios have notable advantages due to their flexibility to adapt to new communication technologies and their potential for the development of advanced tools. However, cybersecurity challenges for the Internet of Things are so complex that it is needed to merge SDR hardware with cognitive techniques and intelligent techniques such as deep learning to adapt to rapid technological changes.

中文翻译：

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物联网无线安全技术回顾：软件定义无线电视角

使用物联网设备的网络攻击的增加暴露了构成物联网的基础设施中的漏洞，并表明小型设备如何影响网络和服务的运行。本文回顾了承载物联网的无线技术的漏洞，并评估了使用软件定义无线电 (SDR) 技术实施针对物联网的无线攻击的经验。进行了系统的文献回顾。比较了可能影响物联网生态系统和 SDR 无线电平台的无线技术的漏洞和攻击类型。在物联网系统模型层，感知层被认为是最脆弱的。这一级别的大多数攻击都是由于硬件限制、设备物理暴露以及技术的异构性而发生的。基于 SDR 无线电的未来网络安全系统具有显着优势，因为它们可以灵活地适应新的通信技术，并且具有开发先进工具的潜力。然而，物联网面临的网络安全挑战非常复杂，需要将 SDR 硬件与认知技术和深度学习等智能技术相结合，以适应快速的技术变革。