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Privacy-Preserving Location-Proximity for Mobile Apps

Conference paper
Authors Simonas Stirbys
Omar Abu Nabah
P. Hallgren
A. Sabelfeld
Published in 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
ISBN 978-1-5090-6058-0
ISSN 1066-6192
Publisher IEEE
Place of publication New York
Publication year 2017
Published at Department of Computer Science and Engineering, Computing Science (GU)
Language en
Links dx.doi.org/10.1109/pdp.2017.79
Keywords Location Based Services, Location Privacy, Privacy-preserving Technologies
Subject categories Computer and Information Science

Abstract

Location Based Services (LBS) have seen alarming privacy breaches in recent years. While there has been much recent progress by the research community on developing privacy-enhancing mechanisms for LBS, their evaluation has been often focused on the privacy guarantees, while the question of whether these mechanisms can be adopted by practical LBS applications has received limited attention. This paper studies the applicability of Privacy-Preserving Location Proximity (PPLP) protocols in the setting of mobile apps. We categorize popular location social apps and analyze the tradeoffs of privacy and functionality with respect to PPLP enhancements. To investigate the practical performance trade-offs, we present an in-depth case study of an Android application that implements InnerCircle, a state-of-the-art protocol for privacy-preserving location proximity. This study indicates that the performance of the privacy-preserving application for coarse-grained precision is comparable to real applications with the same feature set.

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