Adaptive Authorization Access Method for Medical Cloud Data Based on Attribute Encryption

Abstract

The outsourcing storage of medical big data encrypted in the cloud can effectively alleviate the problem of privacy disclosure, but cipher text storage will lead to the inconvenience of data access, which brings new challenges to medical big data shared access. The existing flexible authorization solutions for encrypted data are mainly based on methods such as CP-ABE, which requires the data owner to define the data access strategy, while in reality, the patient is the data owner of the medical data. At the same time, the existing scheme does not support access control authorization in emergency scenarios, and in medical big data applications, when patients can not authorize data users to access cipher text medical data, it will lead to unpredictable consequences. According to the application requirements of encrypted medical big data shared service in cloud environment, an adaptive authorization access method based on attribute encryption is proposed to realize flexible and secure medical data access authorization in normal and emergency situations. Experimental results demonstrate that our scheme is efficient.