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Smart Lamp or Security Camera? Automatic Identification of IoT Devices
DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark.
Örebro University, School of Science and Technology. (Machine Perception & Interaction)ORCID iD: 0000-0001-9293-7711
Örebro University, School of Science and Technology. DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark. (Centre for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0001-9575-2990
2021 (English)In: Selected Papers from the 12th International Networking Conference / [ed] Ghita, Bogdan; Shiaeles, Stavros, Springer International Publishing , 2021, p. 85-99Conference paper, Published paper (Refereed)
Abstract [en]

The tsunami of connectivity brought by the Internet of Things is rapidly revolutionising several sectors, ranging from industry and manufacturing, to home automation, healthcare and many more. When it comes to enforce security within an IoT network such as a smart home, there is a need to automatically recognise the type of each joining devices, in order to apply the right security policy. In this paper, we propose a method for identifying IoT devices’ types based on natural language processing (NLP), text classification, and web search engines. We implement a proof of concept and we test it against 33 different IoT devices. With a success rate of 88.9% for BACnet and 87.5% for MUD devices, our experiments show that we can efficiently and effectively identify different IoT devices.

Place, publisher, year, edition, pages
Springer International Publishing , 2021. p. 85-99
Keywords [en]
Internet of Things, Device identification, Profiling, Natural language processing, Text classification
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:oru:diva-88919ISBN: 978-3-030-64757-5 (print)ISBN: 978-3-030-64758-2 (electronic)OAI: oai:DiVA.org:oru-88919DiVA, id: diva2:1522020
Conference
12th International Networking Conference (INC 2020), Rhodes, Greece, September 19-21, 2020 (Virtual Conference)
Available from: 2021-01-25 Created: 2021-01-25 Last updated: 2021-02-04Bibliographically approved

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Giaretta, AlbertoDragoni, Nicola

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf