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dc.contributor.authorYilmaz, E.en_US
dc.contributor.authorFerhatosmanoglu, H.en_US
dc.contributor.authorAyday, E.en_US
dc.contributor.authorAksoy, R. C.en_US
dc.date.accessioned2019-02-12T06:50:30Z
dc.date.available2019-02-12T06:50:30Z
dc.date.issued2017-04-12en_US
dc.identifier.issn1545-5971
dc.identifier.urihttp://hdl.handle.net/11693/49286
dc.description.abstractToday, 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.en_US
dc.language.isoEnglishen_US
dc.source.titleIEEE Transactions on Dependable and Secure Computingen_US
dc.relation.isversionofhttp://doi.org/10.1109/TDSC.2017.2693986en_US
dc.subjectPrivacyen_US
dc.subjectData encryptionen_US
dc.subjectSecurityen_US
dc.subjectIntegrity and protectionen_US
dc.subjectQuery processingen_US
dc.subjectAlgorithm/protocol design and analysisen_US
dc.titlePrivacy-preserving aggregate queries for optimal location selectionen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage1en_US
dc.citation.epage14en_US
dc.identifier.doi10.1109/TDSC.2017.2693986en_US
dc.publisherIEEEen_US
dc.identifier.eissn1941-0018


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