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LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution
Low-power wide area network (LPWAN) technologies such as IQRF are becoming increasingly popular for a variety of Internet of Things (IoT) applications, including smart cities, industrial control, and home automation. However, LPWANs are vulnerable to cyber attacks that can disrupt the normal operati...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967461/ https://www.ncbi.nlm.nih.gov/pubmed/36850676 http://dx.doi.org/10.3390/s23042078 |
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author | Bouzidi, Mohammed Amro, Ahmed Dalveren, Yaser Alaya Cheikh, Faouzi Derawi, Mohammad |
author_facet | Bouzidi, Mohammed Amro, Ahmed Dalveren, Yaser Alaya Cheikh, Faouzi Derawi, Mohammad |
author_sort | Bouzidi, Mohammed |
collection | PubMed |
description | Low-power wide area network (LPWAN) technologies such as IQRF are becoming increasingly popular for a variety of Internet of Things (IoT) applications, including smart cities, industrial control, and home automation. However, LPWANs are vulnerable to cyber attacks that can disrupt the normal operation of the network or compromise sensitive information. Therefore, analyzing cybersecurity risks before deploying an LPWAN is essential, as it helps identify potential vulnerabilities and threats as well as allowing for proactive measures to be taken to secure the network and protect against potential attacks. In this paper, a security risk analysis of IQRF technology is conducted utilizing the failure mode effects analysis (FMEA) method. The results of this study indicate that the highest risk corresponds to four failure modes, namely compromised end nodes, a compromised coordinator, a compromised gateway and a compromised communication between nodes. Moreover, through this methodology, a qualitative risk evaluation is performed to identify potential security threats in the IQRF network and propose countermeasures to mitigate the risk of cyber attacks on IQRF networks. |
format | Online Article Text |
id | pubmed-9967461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99674612023-02-27 LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution Bouzidi, Mohammed Amro, Ahmed Dalveren, Yaser Alaya Cheikh, Faouzi Derawi, Mohammad Sensors (Basel) Article Low-power wide area network (LPWAN) technologies such as IQRF are becoming increasingly popular for a variety of Internet of Things (IoT) applications, including smart cities, industrial control, and home automation. However, LPWANs are vulnerable to cyber attacks that can disrupt the normal operation of the network or compromise sensitive information. Therefore, analyzing cybersecurity risks before deploying an LPWAN is essential, as it helps identify potential vulnerabilities and threats as well as allowing for proactive measures to be taken to secure the network and protect against potential attacks. In this paper, a security risk analysis of IQRF technology is conducted utilizing the failure mode effects analysis (FMEA) method. The results of this study indicate that the highest risk corresponds to four failure modes, namely compromised end nodes, a compromised coordinator, a compromised gateway and a compromised communication between nodes. Moreover, through this methodology, a qualitative risk evaluation is performed to identify potential security threats in the IQRF network and propose countermeasures to mitigate the risk of cyber attacks on IQRF networks. MDPI 2023-02-12 /pmc/articles/PMC9967461/ /pubmed/36850676 http://dx.doi.org/10.3390/s23042078 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 Bouzidi, Mohammed Amro, Ahmed Dalveren, Yaser Alaya Cheikh, Faouzi Derawi, Mohammad LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution |
title | LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution |
title_full | LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution |
title_fullStr | LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution |
title_full_unstemmed | LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution |
title_short | LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution |
title_sort | lpwan cyber security risk analysis: building a secure iqrf solution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967461/ https://www.ncbi.nlm.nih.gov/pubmed/36850676 http://dx.doi.org/10.3390/s23042078 |
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