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Privacy Enhanced Location Sharing for Mobile Online Social Networks

Authors
Son, J.Kim, D.Bhuiyan, M.Z.A.Tashakkori, R.Seo, J.Lee, D.H.
Issue Date
2020
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
friendship privacy; functional pseudonyms; location privacy; Location sharing; mobile online social networks
Citation
IEEE Transactions on Sustainable Computing, v.5, no.2, pp.279 - 290
Indexed
SCOPUS
Journal Title
IEEE Transactions on Sustainable Computing
Volume
5
Number
2
Start Page
279
End Page
290
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/130778
DOI
10.1109/TSUSC.2018.2842788
ISSN
2377-3782
Abstract
As a primitive function of location-based services (LBSs), the location sharing aims to provide a user's current location information to other designated users. In recent years, LBSs have become one of the most popular services provided by mobile online social networks (mOSNs). As LBSs actively exploit the users' identity and current location information, appropriate approaches have to be utilized to protect the location privacy of the users. Several recent reports have discussed the significance of friendship privacy protection with the goal of hiding the friendship relation of users from unintended entities. However, to the best of our knowledge, there hasn't been an approach for protecting the location sharing with complete privacy of location and friendship connections. To address this issue, we propose a new cryptographic primitive, functional pseudonym, for location sharing in mOSNs that ensures both of them. Unlike many of the existing solutions, our approach does not require a fully trusted server and does not assume pre-established secrets among friends, and therefore is highly practical. Also, the proposed approach significantly reduces computational overhead of users by delegating part of the computations for location sharing to a server, therefore it is highly sustainable. Our primitive can be widely used in many mOSNs to enable LBSs with improved privacy and sustainability. Consequently, it will contribute to proliferate LBSs by eliminating users privacy concerns. © 2016 IEEE.
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