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Privacy-preserving aggregate queries for optimal location selection
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Yilmaz, Emre, Ferhatosmanoglu, Hakan, Ayday, Erman and Aksoy, Remzi Can (2019) Privacy-preserving aggregate queries for optimal location selection. IEEE Transactions on Dependable and Secure Computing, 16 (2). pp. 329-343. doi:10.1109/TDSC.2017.2693986 ISSN 1545-5971.
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Official URL: http://dx.doi.org/10.1109/TDSC.2017.2693986
Abstract
Today, vast amounts of location data are collected by various service providers. These location data owners have a good idea of where their users are most of the time. Other businesses also want to use this information for location analytics, such as finding the optimal location for a new branch. However, location data owners cannot share their data with other businesses, mainly due to privacy and legal concerns. In this paper, we propose privacy-preserving solutions in which location-based queries can be answered by data owners without sharing their data with other businesses and without accessing sensitive information such as the customer list of the businesses that send the query. We utilize a partially homomorphic cryptosystem as the building block of the proposed protocols. We prove the security of the protocols in semi-honest threat model. We also explain how to achieve differential privacy in the proposed protocols and discuss its impact on utility. We evaluate the performance of the protocols with real and synthetic datasets and show that the proposed solutions are highly practical. The proposed solutions will facilitate an effective sharing of sensitive data between entities and joint analytics in a wide range of applications without violating their customers’ privacy.
Item Type: | Journal Article | ||||||||
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Subjects: | H Social Sciences > HF Commerce Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
Library of Congress Subject Headings (LCSH): | Confidential business information, Location-based services -- Law and legislation, Consumers, Internet -- Security measures, Data encryption (Computer science), Consumer profiling | ||||||||
Journal or Publication Title: | IEEE Transactions on Dependable and Secure Computing | ||||||||
Publisher: | Institute of Electrical and Electronics Engineers | ||||||||
ISSN: | 1545-5971 | ||||||||
Official Date: | March 2019 | ||||||||
Dates: |
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Volume: | 16 | ||||||||
Number: | 2 | ||||||||
Page Range: | pp. 329-343 | ||||||||
DOI: | 10.1109/TDSC.2017.2693986 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 29 September 2017 | ||||||||
Date of first compliant Open Access: | 29 September 2017 | ||||||||
RIOXX Funder/Project Grant: |
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