DocumentCode :
77694
Title :
Privacy-Preserving and Content-Protecting Location Based Queries
Author :
Paulet, Russell ; Kaosar, Md Golam ; Xun Yi ; Bertino, Elisa
Author_Institution :
Sch. of Eng. & Sci., Victoria Univ., Melbourne, VIC, Australia
Volume :
26
Issue :
5
fYear :
2014
fDate :
May-14
Firstpage :
1200
Lastpage :
1210
Abstract :
In this paper we present a solution to one of the location-based query problems. This problem is defined as follows: (i) a user wants to query a database of location data, known as Points Of Interest (POIs), and does not want to reveal his/her location to the server due to privacy concerns; (ii) the owner of the location data, that is, the location server, does not want to simply distribute its data to all users. The location server desires to have some control over its data, since the data is its asset. We propose a major enhancement upon previous solutions by introducing a two stage approach, where the first step is based on Oblivious Transfer and the second step is based on Private Information Retrieval, to achieve a secure solution for both parties. The solution we present is efficient and practical in many scenarios. We implement our solution on a desktop machine and a mobile device to assess the efficiency of our protocol. We also introduce a security model and analyse the security in the context of our protocol. Finally, we highlight a security weakness of our previous work and present a solution to overcome it.
Keywords :
data protection; mobile computing; query processing; POIs; content-protecting location based query; desktop machine; location data; location server; mobile device; oblivious transfer; point of interest; privacy-preserving; private information retrieval; protocol; security model; two stage approach; Databases; Mobile communication; Mobile handsets; Privacy; Protocols; Security; Servers; Location based query; Oblivious transfer; Private information retrieval; Private query; oblivious transfer; private information retrieval; private query;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/TKDE.2013.87
Filename :
6520849
Link To Document :
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