Abstract: In the present scenario, the proliferation of cloud computing services allows hospitals and institutions to move their healthcare data to the cloud, enabling global access to data and on-demand high-quality services at a lower cost. Healthcare data has sensitive attributes to be shielded from leakage due to inference attacks by a curious intruder, either directly or indirectly. A hybrid cloud is a mix of both private and public clouds proposed for the storage of health data. Carefully distributing data between private and public clouds to provide protection. While there has been ample work for the delivery of health data for some time now, it does not appear to be more effective in terms of both data retrieval and consideration for fine-grained access control of the data. This work suggests a cordial approach for a more reliable delivery of data using geometric data disruption of health data over hybrid clouds. It is focused on an in-depth review of the results. The distribution enforces fine-grained data access control using attribute-based encryption. In addition, the approach also addresses a method to effectively extract relevant information from hybrid clouds.

Sridhar Reddy Vulapula and Srinivas Malladi, “Attribute-based Encryption for Fine-Grained Access Control on Secure Hybrid Clouds” International Journal of Advanced Computer Science and Applications(IJACSA), 11(10), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111047

@article{Vulapula2020,
title = {Attribute-based Encryption for Fine-Grained Access Control on Secure Hybrid Clouds},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111047},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111047},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {10},
author = {Sridhar Reddy Vulapula and Srinivas Malladi}
}