Privacy enabled crowdsourced transmitter localization using adjusted measurements

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Title Privacy enabled crowdsourced transmitter localization using adjusted measurements
Publication Type thesis
School or College School of Computing
Department Computing
Author Singh, Harsimran
Date 2018
Description We address the problem of location privacy in the context of crowdsourced localization of spectrum o enders where participating receivers report received signal strength (RSS) measurements and their location to a central controller. We present a novel approach that we call the adjusted measurement approach, in which we generate pseudolocations for partic- ipating receivers and report these pseudolocations along with adjusted RSS measurements as if the measurements were made at the pseudolocations. The RSS values are adjusted by representing those as a weighted linear combination of the RSS values at the receivers, where receivers closer to the false location have a higher weight than those far away. We use two RSS datasets, one from a cluttered oce (indoor) and another from roadways in Phoenix, Arizona (outdoor) to evaluate our approach. We compare the localization error of our approach with that of the naive approach that simply adds noise to locations. Our results demonstrate that location privacy can be preserved without a signi cant increase in the localization error. We also formulate an adversary attack that attempts to solve the inverse problem of determining the true locations of the receivers from their false locations. Our evaluations show that the adversary does no better than random guessing of true locations in the monitored area.
Type Text
Publisher University of Utah
Dissertation Name Master of Science
Language eng
Rights Management (c) Harsimran Singh
Format application/pdf
Format Medium application/pdf
ARK ark:/87278/s65r2wzd
Setname ir_etd
ID 1748483
Reference URL https://collections.lib.utah.edu/ark:/87278/s65r2wzd
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