A demonstration of privacy-preserving aggregate queries for optimal location selection
| dc.contributor.author | Eryonucu, Cihan | en_US |
| dc.contributor.author | Ayday, Erman | en_US |
| dc.contributor.author | Zeydan, E. | en_US |
| dc.coverage.spatial | Chania, Greece | en_US |
| dc.date.accessioned | 2019-02-21T16:06:07Z | |
| dc.date.available | 2019-02-21T16:06:07Z | |
| dc.date.issued | 2018 | en_US |
| dc.department | Department of Computer Engineering | en_US |
| dc.description | Date of Conference: 12-15 June 2018 | en_US |
| dc.description.abstract | In recent years, service providers, such as mobile operators providing wireless services, collected location data in enormous extent with the increase of the usages of mobile phones. Vertical businesses, such as banks, may want to use this location information for their own scenarios. However, service providers cannot directly provide these private data to the vertical businesses because of the privacy and legal issues. In this demo, we show how privacy preserving solutions can be utilized using such location-based queries without revealing each organization's sensitive data. In our demonstration, we used partially homomorphic cryptosystem in our protocols and showed practicality and feasibility of our proposed solution. | |
| dc.description.provenance | Made available in DSpace on 2019-02-21T16:06:07Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018 | en |
| dc.identifier.doi | 10.1109/WoWMoM.2018.8449799 | |
| dc.identifier.isbn | 9781538647257 | |
| dc.identifier.uri | http://hdl.handle.net/11693/50292 | |
| dc.language.iso | English | |
| dc.publisher | IEEE | |
| dc.relation.isversionof | https://doi.org/10.1109/WoWMoM.2018.8449799 | |
| dc.source.title | 2018 IEEE 19th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM) | en_US |
| dc.subject | Homomorphic Encryption | en_US |
| dc.subject | Privacy | en_US |
| dc.subject | Security | en_US |
| dc.subject | Sensitive Data | en_US |
| dc.title | A demonstration of privacy-preserving aggregate queries for optimal location selection | en_US |
| dc.type | Conference Paper | en_US |
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