ial for a query aggregator to determine which records correspond to the same underlying individual. In this paper, we ex-plore this problem of pr vately detecting and tracking the health …

Linking Health Records for Federated Query Processing [PDF] Rinku Dewri (University of Denver), Toan Ong (University of Colorado, Denver), Ramakrishna Thurimella (University of …

Abstract: A federated query portal in an electronic health record infrastructure enables large epidemiology studies by combining data from geographically dispersed medical institutions.

SoK: Privacy on Mobile Devices – It’s Complicated a result, these devices are capable of transpar-ently monitoring many sensitive aspects of these users’ lives (e.g., location, health, or …

r health-related outlook for example. Put simply, the scale and he quality of data that can be collected is both a privacy nightmare for unaware users and a goldmine for advertisers. …

alth data (p = 0.010), though. Although both groups perceive health data as sensitive, QS users perceive health data as more sensitive than non-users24. In general, the differences in the …

, has the potential to infer personality traits and/or habits that could be private to them. For example, a retailer can infer from the frequently-visited aisles the shopper’s gender (men’s vs. …

As a result, these devices are capable of transparently monitoring many sensitive aspects of these users’ lives (e.g., location, health, or correspondences). Users typically trade access to …

This is particularly true when the data is used in computation for what we call recreational non-health-related purposes. Towards this goal, in this work we put forward a framework for server …

e-grained mea-surement data (enhanced by location and time) in ex-change for inc ntive points. This may include, for ex-ample, temperature, CO2, noise level, health data, etc. The sensing …