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A New MAC Address Spoofing Detection Technique Based on Random Forests

Media access control (MAC) addresses in wireless networks can be trivially spoofed using off-the-shelf devices. The aim of this research is to detect MAC address spoofing in wireless networks using a hard-to-spoof measurement that is correlated to the location of the wireless device, namely the rece...

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Detalles Bibliográficos
Autores principales: Alotaibi, Bandar, Elleithy, Khaled
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813856/
https://www.ncbi.nlm.nih.gov/pubmed/26927103
http://dx.doi.org/10.3390/s16030281
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author Alotaibi, Bandar
Elleithy, Khaled
author_facet Alotaibi, Bandar
Elleithy, Khaled
author_sort Alotaibi, Bandar
collection PubMed
description Media access control (MAC) addresses in wireless networks can be trivially spoofed using off-the-shelf devices. The aim of this research is to detect MAC address spoofing in wireless networks using a hard-to-spoof measurement that is correlated to the location of the wireless device, namely the received signal strength (RSS). We developed a passive solution that does not require modification for standards or protocols. The solution was tested in a live test-bed (i.e., a wireless local area network with the aid of two air monitors acting as sensors) and achieved 99.77%, 93.16% and 88.38% accuracy when the attacker is 8–13 m, 4–8 m and less than 4 m away from the victim device, respectively. We implemented three previous methods on the same test-bed and found that our solution outperforms existing solutions. Our solution is based on an ensemble method known as random forests.
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spelling pubmed-48138562016-04-06 A New MAC Address Spoofing Detection Technique Based on Random Forests Alotaibi, Bandar Elleithy, Khaled Sensors (Basel) Article Media access control (MAC) addresses in wireless networks can be trivially spoofed using off-the-shelf devices. The aim of this research is to detect MAC address spoofing in wireless networks using a hard-to-spoof measurement that is correlated to the location of the wireless device, namely the received signal strength (RSS). We developed a passive solution that does not require modification for standards or protocols. The solution was tested in a live test-bed (i.e., a wireless local area network with the aid of two air monitors acting as sensors) and achieved 99.77%, 93.16% and 88.38% accuracy when the attacker is 8–13 m, 4–8 m and less than 4 m away from the victim device, respectively. We implemented three previous methods on the same test-bed and found that our solution outperforms existing solutions. Our solution is based on an ensemble method known as random forests. MDPI 2016-02-24 /pmc/articles/PMC4813856/ /pubmed/26927103 http://dx.doi.org/10.3390/s16030281 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alotaibi, Bandar
Elleithy, Khaled
A New MAC Address Spoofing Detection Technique Based on Random Forests
title A New MAC Address Spoofing Detection Technique Based on Random Forests
title_full A New MAC Address Spoofing Detection Technique Based on Random Forests
title_fullStr A New MAC Address Spoofing Detection Technique Based on Random Forests
title_full_unstemmed A New MAC Address Spoofing Detection Technique Based on Random Forests
title_short A New MAC Address Spoofing Detection Technique Based on Random Forests
title_sort new mac address spoofing detection technique based on random forests
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813856/
https://www.ncbi.nlm.nih.gov/pubmed/26927103
http://dx.doi.org/10.3390/s16030281
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