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Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy. (arXiv:2207.00633v1 [cs.CR])
July 5, 2022, 1:20 a.m. | Hojjat Navidan, Vahideh Moghtadaiee, Niki Nazaran, Mina Alishahi
cs.CR updates on arXiv.org arxiv.org
The advent of numerous indoor location-based services (LBSs) and the
widespread use of many types of mobile devices in indoor environments have
resulted in generating a massive amount of people's location data. While
geo-spatial data contains sensitive information about personal activities,
collecting it in its raw form may lead to the leak of personal information
relating to the people, violating their privacy. This paper proposes a novel
privacy-aware framework for aggregating the indoor location data employing the
Local Differential Privacy …
differential privacy hide local location location privacy privacy
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