Autonomous IoT Device Identification Prototype

Abstract : 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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Conference papers
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https://hal.archives-ouvertes.fr/hal-02168149
Contributor : Ludovic Noirie <>
Submitted on : Friday, June 28, 2019 - 2:22:40 PM
Last modification on : Friday, July 5, 2019 - 3:26:03 PM

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  • HAL Id : hal-02168149, version 1

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Nesrine Ammar, Ludovic Noirie, Sébastien Tixeuil. Autonomous IoT Device Identification Prototype. Network Traffic Measurement and Analysis Conference 2019, Jun 2019, Paris, France. https://tma.roc.cnam.fr/Proceedings/TMA_Demo_2.pdf. ⟨hal-02168149⟩

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