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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Detection of Rogue Devices in WLAN by Analyzing RF Features and Indoor Location of the Device
verfasst von : Hyeokchan Kwon, Kwang-Il Lee, Gaeil An, Byung-Ho Chung, Jeong-Nyeo Kim
Erschienen in: Information Security Applications
Verlag: Springer International Publishing
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Abstract
In this paper, we present rogue device detection mechanism in WLAN (Wireless Local Area Network) by analyzing radio frequency (RF) features and estimating indoor location of the device. The presented mechanism analyzes error vector magnitude (EVM) as a RF feature and it also utilizes indoor location to improve detection rates. To estimate location, we use the triangulation method with Gauss–Seidel iterative technique to find approximate coordinate. We developed the proposed mechanism in the wireless sensor hardware and wireless intrusion prevention server platform, and we provide experimental results.