Privacy-Preserving Data Sharing for Health Data Mining

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Health data mining is the process of extracting useful knowledge from a large volume of health data in an efficient and scalable manner. An effective data sharing system plays an important role in supporting health data mining. The emergence of cloud computing has significantly improved the potential of sharing health data due to its powerful computation capability, flexible service composability, high availability, and low maintenance. In particular, the new paradigm of Data-as-a-Service (DaaS) in cloud computing is to provide flexible, on-demand data service to data recipients regardless of their devices, platforms, times, or locations, while charging only for what they use. These desirable properties make cloud computing a natural choice for the next generation of healthcare information infrastructure. Yet, the major obstacle to adopting this technology in the healthcare sector is a lack of trust in sufficient privacy protection.