An integrated framework for privacy protection in IoT-Applied to smart healthcare

Privacy protection is among the key problems that IoT should resolve in order to be widely adopted in critical domains such as healthcare. In this work, we propose an integrated solution for assisting the average users of IoT applications to protect their privacy effectively. In our solution, whenever a user is queried to share some of her private data with a data consumer hidden behind a smart service from the IoT ecosystem, our solution determines the privacy risks entailed by that sharing, compares them to the benefits to-be received, and allows the user to strike a pragmatic decision specifying the data items that can be released along with their precision. Our solution allows users to take advantage of their private data by making pragmatic data sharing deals with smart services (or data consumers) in the ecosystem. We applied our solution to a case-study from healthcare, the feedback collected from patients are positive.