Article in Journal ART-2015-01

BibliographyPerazzo, Pericle; Skvortsov, Pavel; Dini, Gianluca: On Designing Resilient Location-Privacy Obfuscators.
In: The Computer Journal.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
english.
Oxford University Press, February 2015.
DOI: 10.1093/comjnl/bxv009.
Article in Journal.
CR-SchemaC.2.4 (Distributed Systems)
H.3.5 (Online Information Services)
Keywordslocation-based service; privacy; obfuscation; sharing
Abstract

The success of location-based services is growing together with the diffusion of GPS-equipped smart devices. As a consequence, privacy concerns are raising year by year. Location privacy is becoming a major interest in research and industry world, and many solutions have been proposed for it. One of the simplest and most flexible approaches is obfuscation, in which the precision of location data is artificially degraded before disclosing it. In this paper, we present an obfuscation approach capable of dealing with measurement imprecision, multiple levels of privacy, untrusted servers, and adversarial knowledge of the map. We estimate its resistance against statistical-based deobfuscation attacks, and we improve it by means of three techniques, namely extreme vectors, enlarge-and-scale, and hybrid vectors.

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ContactPericle Perazzo pericle.perazzo@iet.unipi.it, Pavel Skvortsov skvortsov@hlrs.de, Gianluca Dini gianluca.dini@iet.unipi.it
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
Project(s)PriLoc
Entry dateFebruary 6, 2015
   Publ. Department   Publ. Institute   Publ. Computer Science