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• W2275153904 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." @default.
• W2275153904 created "2016-06-24" @default.
• W2275153904 creator A5053747503 @default.
• W2275153904 creator A5070765307 @default.
• W2275153904 date "2016-02-24" @default.
• W2275153904 modified "2023-09-26" @default.
• W2275153904 title "A New MAC Address Spoofing Detection Technique Based on Random Forests" @default.
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• W2275153904 doi "https://doi.org/10.3390/s16030281" @default.
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