Name
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3390/s16030281 | SENSORS |
Keywords | Field | DocType |
wireless local area networks,random forests,spoofing,MAC address,wireless sensor networks,detection | Data mining,Wireless network,Media access control,Wireless,Spoofing attack,MAC address,Computer network,Electronic engineering,Wi-Fi,Engineering,Random forest,Wireless sensor network | Journal |
Volume | Issue | Citations |
16 | 3.0 | 4 |
PageRank | References | Authors |
0.41 | 26 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bandar Alotaibi | 1 | 4 | 1.08 |
| Khaled M. Elleithy | 2 | 448 | 72.86 |