Haddadi, Hamed

Brown, Ian


The increasing availability of personal activity monitors, tracking devices, wearable recording devices, and associated smartphone apps has given rise to a wave of Quantified Self individuals and applications. The data from these apps and sensors are usually collected by associated apps and uploaded to the software developers for feedback to individual and their selected partners. In this paper we highlight the privacy risks associated with this practice, demonstrating the ease with which an app provider can infer individuals co-location and joint activities without having access to specific location data. We highlight a number of potential solution to this challenge in order to minimise the privacy leakage from these applications.



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