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Exploring LoRaWAN Traffic: In-Depth Analysis of IoT Network Communications

In the past decade, Long-Range Wire-Area Network (LoRaWAN) has emerged as one of the most widely adopted Low Power Wide Area Network (LPWAN) standards. Significant efforts have been devoted to optimizing the operation of this network. However, research in this domain heavily relies on simulations an...

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Autores principales: Povalac, Ales, Kral, Jan, Arthaber, Holger, Kolar, Ondrej, Novak, Marek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490483/
https://www.ncbi.nlm.nih.gov/pubmed/37687789
http://dx.doi.org/10.3390/s23177333
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author Povalac, Ales
Kral, Jan
Arthaber, Holger
Kolar, Ondrej
Novak, Marek
author_facet Povalac, Ales
Kral, Jan
Arthaber, Holger
Kolar, Ondrej
Novak, Marek
author_sort Povalac, Ales
collection PubMed
description In the past decade, Long-Range Wire-Area Network (LoRaWAN) has emerged as one of the most widely adopted Low Power Wide Area Network (LPWAN) standards. Significant efforts have been devoted to optimizing the operation of this network. However, research in this domain heavily relies on simulations and demands high-quality real-world traffic data. To address this need, we monitored and analyzed LoRaWAN traffic in four European cities, making the obtained data and post-processing scripts publicly available. For monitoring purposes, we developed an open-source sniffer capable of capturing all LoRaWAN communication within the EU868 band. Our analysis discovered significant issues in current LoRaWAN deployments, including violations of fundamental security principles, such as the use of default and exposed encryption keys, potential breaches of spectrum regulations including duty cycle violations, SyncWord issues, and misaligned Class-B beacons. This misalignment can render Class-B unusable, as the beacons cannot be validated. Furthermore, we enhanced Wireshark’s LoRaWAN protocol dissector to accurately decode recorded traffic. Additionally, we proposed the passive reception of Class-B beacons as an alternative timebase source for devices operating within LoRaWAN coverage under the assumption that the issue of misaligned beacons can be addressed or mitigated in the future. The identified issues and the published dataset can serve as valuable resources for researchers simulating real-world traffic and for the LoRaWAN Alliance to enhance the standard to facilitate more reliable Class-B communication.
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spelling pubmed-104904832023-09-09 Exploring LoRaWAN Traffic: In-Depth Analysis of IoT Network Communications Povalac, Ales Kral, Jan Arthaber, Holger Kolar, Ondrej Novak, Marek Sensors (Basel) Article In the past decade, Long-Range Wire-Area Network (LoRaWAN) has emerged as one of the most widely adopted Low Power Wide Area Network (LPWAN) standards. Significant efforts have been devoted to optimizing the operation of this network. However, research in this domain heavily relies on simulations and demands high-quality real-world traffic data. To address this need, we monitored and analyzed LoRaWAN traffic in four European cities, making the obtained data and post-processing scripts publicly available. For monitoring purposes, we developed an open-source sniffer capable of capturing all LoRaWAN communication within the EU868 band. Our analysis discovered significant issues in current LoRaWAN deployments, including violations of fundamental security principles, such as the use of default and exposed encryption keys, potential breaches of spectrum regulations including duty cycle violations, SyncWord issues, and misaligned Class-B beacons. This misalignment can render Class-B unusable, as the beacons cannot be validated. Furthermore, we enhanced Wireshark’s LoRaWAN protocol dissector to accurately decode recorded traffic. Additionally, we proposed the passive reception of Class-B beacons as an alternative timebase source for devices operating within LoRaWAN coverage under the assumption that the issue of misaligned beacons can be addressed or mitigated in the future. The identified issues and the published dataset can serve as valuable resources for researchers simulating real-world traffic and for the LoRaWAN Alliance to enhance the standard to facilitate more reliable Class-B communication. MDPI 2023-08-22 /pmc/articles/PMC10490483/ /pubmed/37687789 http://dx.doi.org/10.3390/s23177333 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Povalac, Ales
Kral, Jan
Arthaber, Holger
Kolar, Ondrej
Novak, Marek
Exploring LoRaWAN Traffic: In-Depth Analysis of IoT Network Communications
title Exploring LoRaWAN Traffic: In-Depth Analysis of IoT Network Communications
title_full Exploring LoRaWAN Traffic: In-Depth Analysis of IoT Network Communications
title_fullStr Exploring LoRaWAN Traffic: In-Depth Analysis of IoT Network Communications
title_full_unstemmed Exploring LoRaWAN Traffic: In-Depth Analysis of IoT Network Communications
title_short Exploring LoRaWAN Traffic: In-Depth Analysis of IoT Network Communications
title_sort exploring lorawan traffic: in-depth analysis of iot network communications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490483/
https://www.ncbi.nlm.nih.gov/pubmed/37687789
http://dx.doi.org/10.3390/s23177333
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