| Title | A Demonstration of Privacy-Preserving Aggregate Queries for Optimal Location Selection |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Eryonucu, Cihan, Ayday, Erman, Zeydan, Engin |
| Conference Name | 2018 IEEE 19th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM) |
| Keywords | Aggregates, Business, collected location data, compositionality, cryptographic protocols, data privacy, demonstration, Encryption, enormous extent, homomorphic encryption, Human Behavior, location information, Location Privacy in Wireless Networks, location-based queries, Metrics, mobile computing, mobile operators, mobile phones, optimal location selection, organization, partially homomorphic cryptosystem, privacy, privacy preserving solutions, privacy-preserving aggregate queries, private data, Protocols, pubcrawl, query processing, Resiliency, security, sensitive data, Servers, service providers, vertical businesses, wireless services |
| 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. |
| DOI | 10.1109/WoWMoM.2018.8449799 |
| Citation Key | eryonucu_demonstration_2018 |
A Demonstration of Privacy-Preserving Aggregate Queries for Optimal Location Selection