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

机译:基于属性加密的医学云数据自适应授权访问方法

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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.
机译:云中加密的医疗大数据外包存储可以有效缓解隐私泄露问题,但是密文存储将导致数据访问的不便,给医疗大数据共享访问带来了新的挑战。现有的用于加密数据的灵活授权解决方案主要基于CP-ABE等方法,该方法要求数据所有者定义数据访问策略,而实际上,患者是医疗数据的数据所有者。同时,现有方案在紧急情况下不支持访问控制授权,在医疗大数据应用中,当患者无法授权数据用户访问密文医疗数据时,将导致不可预期的后果。针对云环境下医疗大数据加密共享服务的应用需求,提出了一种基于属性加密的自适应授权访问方法,以在正常和紧急情况下实现灵活,安全的医疗数据访问授权。实验结果表明,该方案是有效的。

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