| Abstrakt: |
Individual’s start-ups and large corporations in the health-care sector have new opportunities to outsource data and outsourcing computation offers to cloud computing. Although the cloud computing paradigm presents users with interesting and cost-effective opportunities still in its early stage, and using the cloud introduces with new obstacles. An another issue is the security of cloud data, which may be affected the data particularly in the case of health-care systems that store and process sensitive data and is outsourced to a cloud computing system. Although there has been significant progress in the development of health services, there are still issues that need to be settled regarding, integrity, the security, large-scale deployment, service integration, and confidentiality of sensitive medical data. To ensure that sensitive medical data is captured, stored, and consumed securely, an information sharing policy syntax based on rules, the data capture and auto identification reference platform features a Single Point of Contact as well as data buckets that are hosted on a cost-effective cloud infrastructure and scalable. As a result, security, accuracy, and precision are achieved in this analysis and query time is reduced. [ABSTRACT FROM AUTHOR] |
