Golden-Eye: A server-side location-sensing system for wireless LANs

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dc.contributor.advisorWallach, Dan S.
dc.creatorTao, Ping
dc.date.accessioned2009-06-04T08:29:18Z
dc.date.available2009-06-04T08:29:18Z
dc.date.issued2004
dc.description.abstractDetermining 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.extent37 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS COMP.SCI. 2004 TAO
dc.identifier.citationTao, Ping. "Golden-Eye: A server-side location-sensing system for wireless LANs." (2004) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17735">https://hdl.handle.net/1911/17735</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17735
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectElectronics
dc.subjectElectrical engineering
dc.subjectComputer science
dc.titleGolden-Eye: A server-side location-sensing system for wireless LANs
dc.typeThesis
dc.type.materialText
thesis.degree.departmentComputer Science
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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