Potential Sustainability in Storing Cloud Data with Privacy Preservation Scheme over ERecords in HealthCare Systems

Manjula, G. and Kalyani, N. and Vijitha, S. and Packialatha, A. and Preethi, J. (2022) Potential Sustainability in Storing Cloud Data with Privacy Preservation Scheme over ERecords in HealthCare Systems. Potential Sustainability in Storing Cloud Data with Privacy Preservation Scheme over ERecords in HealthCare Systems, 14 (5). ISSN 1308-5581

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Abstract

Researchers suggest incorporating security within portable medical systems with use of the cloud infrastructure in
response to user privacy, barriers towards the application of e-healthcare systems, and the astronomical performance of cloud platforms. The structure integrates notable characteristics such as effective key generation, secure data access, particularly for emergency collection, and greater transparency for unauthorised use of healthcare data.The majority of data is sent to the cloud
for storage and analysis in IoT devices that use cloud services. Because obtaining data in the cloud poses a danger of private revelation owing to the cloud's accessibility, security and privacy are major considerations. Data security is ensured in that fashion because an intruder needs access to both peripheral and storage server copies of the information. Thorough testing as well as a comprehensive performance evaluation have shown how well the system functions to protect user data.An adaptive authentication protocol for a sophisticated IoT-based e-health cloud storage device is suggested. So, in order to protect patient
health records, implement user access both for emergency medical situations and to provide space in internet database systems, those requirements must all be met. All health records created by the health network infrastructure are protected before being transported to the backup system. Through the use of a cross-domain policy, various medical staff across numerous health zones may safely exchange this data with one another.

Item Type: Article
Subjects: Computer Science Engineering > Data Science
Domains: Computer Science Engineering
Depositing User: Mr Prabakaran Natarajan
Date Deposited: 04 Dec 2025 10:42
Last Modified: 04 Dec 2025 10:42
URI: https://ir.vistas.ac.in/id/eprint/11200

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