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Secure Fine-Grained Data Access Control Over Multiple Cloud Server Based Healthcare Applications

机译:对基于多个Cloud Server的医疗保健应用程序的安全细粒度数据访问控制

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With the flourishing build out of the cloud computing, privacy and security worries of outsourcing data have been increasing to a great extent. Mobile cloud model aids for analyzing the information related with patients data and to give recommendations in healthcare applications. A fine-grained level access management of multi-server cloud information is very essential requirement accomplishing and for implementation of end users application, in mobile cloud computing. Present paper is to illustrate collective focus of fine grained access control of clouds based servers information besides a incontrovertibly mobile cloud users validation system of healthcare industry using ABE algorithm. We as a proposed system will use an auditing technique for fraud detection of data on cloud side. Initially distributed modular and distinguished construction of large-scale virtual mechanisms behavior is illustrated based on distributed monitoring agent and later on feasible, appropriate parallel trust computing system is presented for large data. Evaluation of analysis and results of the experiment confirms the practicability and efficiency of system proposed.
机译:随着云计算的蓬勃发展,外包数据的隐私和安全性担忧已在很大程度上增加。移动云模型有助于分析与患者数据有关的信息,并在医疗保健应用中提供建议。在移动云计算中,对多服务器云信息进行细粒度的访问管理对于完成最终用户应用程序以及实现最终用户应用程序都是非常重要的要求。本文旨在说明基于医疗服务器的基于云的服务器信息的细粒度访问控制的总体焦点,以及使用ABE算法的医疗行业不可争议的移动云用户验证系统。作为提议的系统,我们将使用审核技术对云端的数据进行欺诈检测。首先说明了基于分布式监视代理的分布式模块化和大型虚拟机制行为的显着构造,然后在可行的,合适的并行信任计算系统的基础上,提出了适用于大数据的系统。对分析和实验结果的评估证实了所提出系统的实用性和有效性。

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