Paper Info
Title
New Privacy-Preserving Method for Matching Location Data
Abstract
The development of the GPS has recently increased the demand for the beneficial services from the mobile users' location data. If the location data are collected from various organizations, more beneficial services will be provided. However, the organizations are never able to share their location data, because they must avoid their users' privacy information leakage. Therefore, we propose a new system that (i) organizations transform the location data into secured location data that protects users' location information and send them to the third party called mediator and, (ii) the mediator provides beneficial services from the secured location data. We focus on the service that the mediator finds users who are nearby from all users over multiple organizations (one-to-many private location matching). In previous techniques, a user can judge another user (e.g., his/her friend) is close or not by using the secured location data (one-to-one private location matching). We also propose a new scheme that the mediator can perform one-to-many matching without users' privacy information leakage. Our scheme is the first result that realizes one-to-many matching without users' huge task and leaking their privacy.
Year
DOI
Venue
2014
10.1109/IMIS.2014.89
Innovative Mobile and Internet Services in Ubiquitous Computing
Keywords
Field
DocType
data protection,pattern matching,security of data,location data matching,mediator,one-to-one private location matching,privacy-preserving method,secured location data,user location information protection,Location data,Location privacy,One-to-many private location matching
Internet privacy,Information leakage,Computer science,Computer security,Third party,Location data,Global Positioning System
Conference
ISSN
Citations 
PageRank 
2375-8287
1
0.36
References 
Authors
17
4
Name
Order
Citations
PageRank
Mebae Ushida151.81
Yuji Yamaoka294.63
Kouichi Itoh328522.56
Hiroshi Tsuda410.36