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A New MAC Address Spoofing Detection Technique Based on Random Forests

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dc.contributor.author Alotaibi, Bandar
dc.contributor.author Elleithy, Khaled M.
dc.date.accessioned 2016-09-26T18:53:30Z
dc.date.available 2016-09-26T18:53:30Z
dc.date.issued 2016-02-24
dc.identifier.citation Alotaibi, B.; Elleithy, K. A New MAC Address Spoofing Detection Technique Based on Random Forests. Sensors 2016, 16, 281.
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1691
dc.description.abstract 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. en_US
dc.description.uri https://doi.org/10.3390/s16030281
dc.language.iso en_US en_US
dc.publisher MDPI en_US
dc.subject Medium access control (MAC) address en_US
dc.subject Spoofing en_US
dc.subject Detection en_US
dc.subject Random forests en_US
dc.subject Wireless sensor networks (WSN) en_US
dc.subject Wireless local area networks (WLAN) en_US
dc.title A New MAC Address Spoofing Detection Technique Based on Random Forests en_US
dc.type Article en_US
dc.publication.issue 3 en_US
dc.publication.name Sensors en_US
dc.publication.volume 16 en_US

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