IoT Gateways Network Communication Analysis

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

IoT Gateways Network Communication Analysis

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

IoT Gateways Network Communication Analysis

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

2023 International Conference on Information Networking (ICOIN)

ISBN

978-1-6654-6268-6

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

334-339

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

Bangkok

Místo konání akce

Bangkok

Datum konání akce

11. 1. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000981938900059