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IoT Gateways Network Communication Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APU149360" target="_blank" >RIV/00216305:26230/23:PU149360 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/10049047" target="_blank" >https://ieeexplore.ieee.org/document/10049047</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICOIN56518.2023.10049047" target="_blank" >10.1109/ICOIN56518.2023.10049047</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    IoT Gateways Network Communication Analysis

  • Original language description

    Modern IoT gateways are mainly developed by corporates. This results in closed systems, where a small amount of information about gateways is available to the public. Thus, we find it important to analyse network traffic of such gateways.      This paper's primary goal is to gain information from network traffic data of commercially available gateways intended for home use. This information can be used, for example, for device profiling. We deploy four gateways in a controlled environment and capture their traffic in two modes. We analyse communication behaviours, point out interesting and unusual patterns in traffic, compare results to other studies, and discuss possible attacks on used gateways based on our data. We also published the gathered dataset.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2023 International Conference on Information Networking (ICOIN)

  • ISBN

    978-1-6654-6268-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    334-339

  • Publisher name

    Institute of Electrical and Electronics Engineers

  • Place of publication

    Bangkok

  • Event location

    Bangkok

  • Event date

    Jan 11, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000981938900059