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An Adaptive Grid and Incentive Mechanism for Personalized Differentially Private Location Data in the Local Setting
2020
Mobile Information Systems
With the proliferation of wireless communication and mobile devices, various location-based services are emerging. For the growth of the location-based services, more accurate and various types of personal location data are required. However, concerns about privacy violations are a significant obstacle to obtain personal location data. In this paper, we propose a local differential privacy scheme in an environment where there is no trusted third party to implement privacy protection techniques
doi:10.1155/2020/8898223
fatcat:ned6kcz5qrd3bhzhnkkqfbei2m