Health information is very vulnerable. Certain individuals or corporate organisations will continue to steal it similar to bank account data once data is on wireless channels. Once health information is part of a social network, corresponding privacy issues also surface. Insufficiently trained employees at hospitals that pay less attention to creating a privacy-aware culture will suffer loss when mobile devices containing health information are lost, stolen or sniffed. In this work, a social network system is explored as a m-health system from a privacy perspective. A model is developed within a framework of data-driven privacy and implemented on Android operating system. In order to check feasibility of the proposed model, a prototype application is developed on Facebook for different services, including: i) sharing user location; ii) showing nearby friends; iii) calculating and sharing distance moved, and calories burned; iv) calculating, tracking and sharing user heart rate; etc.
As health information is valuable, thieves will continue to steal it. Likewise, insufficiently trained employees at organizations or even individuals that pay less attention to creating a privacy-aware culture will suffer data losses when unprotected devices are lost, stolen or sniffed. In this work, sensors are exploited to collect and generate data to be processed, clustered and shared via locally developed application to improve social networking in context of privacy preserving healthcare. The solution is developed for Android operating system. It provides the user with a set of network related social services. In addition to (i) showing specific places (ii) sharing the user location; (iii) showing nearby friends; (iv) getting and sharing weather temperature, it clusters nearby friends; calculates and shares distance moved, calories burned and active time; calculates tracking and shares the user heart rate,. Data privacy model is presented using data session levels and user roles to ensure privacy within healthcare social network.
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