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DOI: 10.14569/IJACSA.2024.01511122
PDF

A Robust Model for a Healthcare System with Chunk Based RAID Encryption in a Multitenant Blockchain Network

Author 1: Bharath Babu S
Author 2: Jothi K R

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 11, 2024.

  • Abstract and Keywords
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Abstract: Healthcare informatics has revolutionized data extraction from large datasets. However, using analytics while protecting sensitive healthcare data is a major challenge. A novel methodology for Privacy-Preserving Analytics in Healthcare Records addresses this essential issue in this study. The multi-tenant Blockchain framework uses chunk-based RAID encryption. For the healthcare business, chunk-based RAID encryption in a multi-tenant blockchain architecture creates a durable, safe, and efficient solution for processing confidential healthcare information. This solution improves data security, integrity, availability, performance, regulatory compliance, and scalability by combining RAID and blockchain technology. Contemporary healthcare systems need these qualities to work well. This approach was done in Python, and the libraries used the VSCode tool. To maintain data security, integrity, and accessibility, a strong healthcare system architecture with chunk-based RAID encryption in a multi-tenant blockchain network requires various advanced technologies.

Keywords: Multi-tenant; chunk-based; RAID; blockchain; healthcare records

Bharath Babu S and Jothi K R, “A Robust Model for a Healthcare System with Chunk Based RAID Encryption in a Multitenant Blockchain Network” International Journal of Advanced Computer Science and Applications(IJACSA), 15(11), 2024. http://dx.doi.org/10.14569/IJACSA.2024.01511122

@article{S2024,
title = {A Robust Model for a Healthcare System with Chunk Based RAID Encryption in a Multitenant Blockchain Network},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01511122},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01511122},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {11},
author = {Bharath Babu S and Jothi K R}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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