Abstract: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 … Show more
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