自主物联网设备识别原型

2019 Network Traffic Measurement and Analysis Conference (TMA) Pub Date : 2019-06-19 DOI:10.23919/TMA.2019.8784517

Nesrine Ammar, L. Noirie, S. Tixeuil

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引用次数: 6

摘要

在本文中，我们演示了一个原型实现，以帮助识别连接到家庭网络的物联网设备的类型。我们的解决方案基于监督分类算法(决策树)，该算法使用从网络流量中提取的相关信息对33个物联网设备进行了训练。我们的演示表明，我们的建议可以有效地自动识别物联网设备的类型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Autonomous IoT Device Identification Prototype

In this paper, we demonstrate a prototype implementation to help identifying the types of IoT devices being connected to a home network. Our solution is based on a supervised classification algorithm (decision tree) trained on 33 IoT devices using relevant information extracted from network traffic. Our demo shows that our proposal is effective to automatically identify the types of IoT devices.

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来源期刊

2019 Network Traffic Measurement and Analysis Conference (TMA)

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