DocumentCode :
612170
Title :
Strong location privacy: A case study on shortest path queries
Author :
Mouratidis, Kyriakos
Author_Institution :
Sch. of Inf. Syst., Singapore Manage. Univ., Singapore, Singapore
fYear :
2013
fDate :
8-12 April 2013
Firstpage :
136
Lastpage :
143
Abstract :
The last few years have witnessed an increasing availability of location-based services (LBSs). Although particularly useful, such services raise serious privacy concerns. For example, exposing to a (potentially untrusted) LBS the client´s position may reveal personal information, such as social habits, health condition, shopping preferences, lifestyle choices, etc. There is a large body of work on protecting the location privacy of the clients. In this paper, we focus on shortest path queries, describe a framework based on private information retrieval (PIR), and conclude with open questions about the practicality of PIR and other location privacy approaches.
Keywords :
data privacy; information retrieval; mobile computing; LBS; PIR; health condition; lifestyle choice; location privacy protection; location-based service; private information retrieval; shopping preference; shortest path query; social habit; Artificial neural networks; Coprocessors; Educational institutions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-5303-8
Electronic_ISBN :
978-1-4673-5302-1
Type :
conf
DOI :
10.1109/ICDEW.2013.6547441
Filename :
6547441
Link To Document :
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