Multi-Protocol IoT Network Reconnaissance

Multi-Protocol IoT Network Reconnaissance
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多协议物联网网络侦察

DOI:
10.1109/cns56114.2022.9947261
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发表时间:
2022
期刊:
2022 IEEE Conference on Communications and Network Security (CNS
影响因子:
--
通讯作者:
Starobinski, David
Starobinski, David
中科院分区:
--
文献类型:
--
作者:
Gvozdenovic, Stefan;Becker, Johannes K;Mikulskis, John;Starobinski, David

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网络侦察是一项核心安全功能,可用于检测隐藏的未授权设备或识别丢失的设备。目前,缺乏能够跨多个协议发现物联网(IoT)设备的网络侦察工具。为了弥合这一差距,我们引入了可扩展的物联网网络侦察工具IoT-Scan。物联网扫描基于软件定义无线电(SDR)技术,允许灵活实施无线电协议。我们提出了被动、主动、多通道和多协议扫描算法,以加快使用物联网扫描的设备发现速度。我们实现了扫描算法,并将其性能与四种流行的物联网协议进行了比较:Zigbee,Bluetooth LE,Z-Wave和LoRa。通过对数十个物联网设备的实验,我们证明了我们的实现经历了最小的数据包丢失,并达到了接近理论基准的性能。
Network reconnaissance is a core security functionality, which can be used to detect hidden unauthorized devices or to identify missing devices. Currently, there is a lack of network reconnaissance tools capable of discovering Internet of Things (IoT) devices across multiple protocols. To bridge this gap, we introduce IoT-Scan, an extensible IoT network reconnaissance tool. IoT - Scan is based on software-defined radio (SDR) technology, which allows for a flexible implementation of radio protocols. We propose passive, active, multi-channel, and multi-protocol scanning algorithms to speed up the discovery of devices with IoT-Scan. We implement the scanning algorithms and compare their performance with four popular IoT protocols: Zigbee, Bluetooth LE, Z-Wave, and LoRa. Through experiments with dozens of IoT devices, we demonstrate that our implementation experiences minimal packet losses, and achieves performance near a theoretical benchmark.
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