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dc.contributor.advisor Wallach, Dan S.
dc.creatorTao, Ping
dc.date.accessioned 2009-06-04T08:29:18Z
dc.date.available 2009-06-04T08:29:18Z
dc.date.issued 2004
dc.identifier.urihttps://hdl.handle.net/1911/17735
dc.description.abstract Determining the location of a wireless client is a key problem for location-aware systems and for security applications. Many recent studies have used Bayesian methods to determine location from wireless LAN signals, but such methods have the drawback that a model must first be built from training data. The introduction of model error can drastically reduce the robustness of the location estimates, rendering most models incapable of tolerating hardware differences, channel variations, and intentional interferences from malicious users. This thesis describes the design, implementation and analysis of Golden-Eye, a robust wireless LAN location-sensing system that uses new techniques to address this problem. By fitting training data into Gaussian distributions and using relative signal strength, Golden-Eye works independent of the client's 802.11 implementation or transmission power level, making it suitable even for tracking clients that might be trying to hide their locations.
dc.format.extent 37 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectElectronics
Electrical engineering
Computer science
dc.title Golden-Eye: A server-side location-sensing system for wireless LANs
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Computer Science
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science
dc.identifier.citation Tao, Ping. "Golden-Eye: A server-side location-sensing system for wireless LANs." (2004) Master’s Thesis, Rice University. https://hdl.handle.net/1911/17735.


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