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Detection of Rogue Devices in WLAN by Analyzing RF Features and Indoor Location of the Device
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- Authors
- Hyeokchan Kwon, Kwangil Lee, Gaeil An, Byung-Ho Chung, Jeong-Nyeo Kim
- Issue Date
- 2015-08
- Citation
- International Workshop on Information Security Applications (WISA) 2015 (LNCS 9503), v.9503, pp.54-61
- Publisher
- Springer
- Language
- English
- Type
- Conference Paper
- 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?밪eidel 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.
- KSP Keywords
- Device Detection, Indoor Location, Iterative technique, Radio frequency (rf), Triangulation method, Wireless local area network(WLAN), detection mechanism, detection rate(DR), error vector magnitude(EVM), intrusion prevention, local area network(LAN)