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dc.contributor.authorHoyo, Daniel delde
dc.date.accessioned2012-06-20de
dc.date.accessioned2016-03-31T07:59:38Z-
dc.date.available2012-06-20de
dc.date.available2016-03-31T07:59:38Z-
dc.date.issued2012de
dc.identifier.other370602161de
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-74912de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/2876-
dc.identifier.urihttp://dx.doi.org/10.18419/opus-2859-
dc.description.abstractWith the current raise of many different smartphones devices and tablets, which have among other functions, a GPS sensor, the ability to make use of services based in the user's location is increasing, as the number of applications offering this type of service. In addition, the number of social networks which allow users to share their location is also increasing. To avoid any kind of leak that could lead to violate user's privacy or security, location privacy techniques should be implemented. Obfuscation will be used in order to avoid the usage of third party solutions. The generation of cloaking regions allows users to define an associated privacy police and configuration, associated with every different type of feature, when map-aware knowledge is available. This paper presents different methods of probabilistic map representations and an obfuscation technique used when unveiling user's position.en
dc.language.isoende
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.subject.ddc004de
dc.titleProbabilistic map representation using GeoToolsen
dc.typeStudyThesisde
ubs.fakultaetFakultät Informatik, Elektrotechnik und Informationstechnikde
ubs.institutInstitut für Parallele und Verteilte Systemede
ubs.opusid7491de
ubs.publikation.typStudienarbeitde
Enthalten in den Sammlungen:05 Fakultät Informatik, Elektrotechnik und Informationstechnik

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