Location privacy preservation for mobile users in location-based services

Gang Sun, Shuai Cai, Hongfang Yu, Sabita Maharjan, Victor Chang, Xiaojiang Du, Mohsen Guizani

Research output: Contribution to journalArticle

Abstract

Because location-based cyber services are increasingly found in mobile applications (e.g., social networking and maps), user location privacy preservation is essential and remains one of the several ongoing research challenges. In this paper, we propose a region-of-interest division-based algorithm to Preserve the location Privacy of mobile device users in location-based Cyber Services (PPCS). Unlike existing methods, our proposed PPCS approach generates dummy locations while considering the semantic information of those locations. The PPCS algorithm enables the generated locations to exclude or reduce the exposure of a user's real location. In our analysis, we demonstrate that PPCS is resilient to both colluding attacks and inference attacks. We also evaluate the efficiency and demonstrate the utility of our proposed approach through extensive simulations.

Original languageEnglish
Article number8750836
Pages (from-to)87425-87438
Number of pages14
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 28 Jun 2019

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    Sun, G., Cai, S., Yu, H., Maharjan, S., Chang, V., Du, X., & Guizani, M. (2019). Location privacy preservation for mobile users in location-based services. IEEE Access, 7, 87425-87438. [8750836]. https://doi.org/10.1109/ACCESS.2019.2925571