Privacy Preservation in Data Mining for Health Care

Abstract

Nowadays the medical field implement a lot of illegal procedures and expose the patient’s sensitive information to gain money. Privacy preservation in data mining for health care discusses the methods of protecting the patient’s private information. Studies show that trade off between privacy and information loss creates a bottleneck while developing generic solutions. In this paper, we propose a privacy-preserving data publish subscribe service for cloud-based platforms. Specifically, we first formulate the problem of privacy-preserving data publish subscribe service by refining its security requirements on cloud based platforms. The privacy issue becomes much more critical in data publication and subscription service on cloud-based platforms, as the cloud server cannot be fully trusted by both data publishers and data subscribers.