Exploring LoRaWAN Traffic: In-Depth Analysis of IoT Network Communications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148861" target="_blank" >RIV/00216305:26220/23:PU148861 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/23/17/7333" target="_blank" >https://www.mdpi.com/1424-8220/23/17/7333</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s23177333" target="_blank" >10.3390/s23177333</a>
Alternative languages
Result language
angličtina
Original language name
Exploring LoRaWAN Traffic: In-Depth Analysis of IoT Network Communications
Original language 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
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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
Name of the periodical
SENSORS
ISSN
1424-8220
e-ISSN
1424-3210
Volume of the periodical
23
Issue of the periodical within the volume
17
Country of publishing house
CH - SWITZERLAND
Number of pages
20
Pages from-to
1-20
UT code for WoS article
001062105700001
EID of the result in the Scopus database
2-s2.0-85170567603