Efficient Data Retrieval and Fine Grained Access Control on Secure Hybrid Cloud

2020 International Journal of Emerging Trends in Engineering Research  
Healthcare data has many private attributes to be secured from leakage due to inference either direct or indirect. Hybrid cloud is a model which is a combination of both private and public clouds. This model is proposed as a way of storing healthcare data. The data is carefully distributed between these two clouds to bring about security of private attributes. While substantial work has already been around for a while for distributing healthcare data, they do not seem to possess greater
more » ... cy in terms of both data retrieval and consideration for fine coarse access control on the given information. The present work proposes an amicable solution for a more secure distribution of data using geometric data perturbation of healthcare data over hybrid clouds. It is based on inherent analysis of data. The distribution enforces effectively to gain a control over the data using an encryption that is attribute-based one. Besides, this particular solution also discusses a strategy to retrieve relevant information efficiently from hybrid clouds
doi:10.30534/ijeter/2020/258102020 fatcat:3mqef23b7fc67pyzlzwrz3g22y