Development of cybersecurity lab exercises for mobile health

Abstract

There is an emerging class of public health applications where non-health data from mobile apps, such as social media data, are used in subsequent models that identify threats to public health. On one hand, these models require accurate data, which would have an immense impact on public health. On the other hand, results from these models could compromise the privacy of an individual’s health status even without directly using health data. In addition, privacy could also be affected if systems hosting these models are compromised through security breaches. Students ought to be trained in evaluating the effectiveness of different protocols in ensuring privacy while providing useful data to the models.Conference PaperJournal ArticlePublishe