Performance evaluation of secured storage access control system for public health records in cloud computing

Cloud computing activities have grown exponentially today. Cloud computing is typically a service that is provided for computing as a service. It shares network or internet services, applications and info. Accordingly, resources and individuals are communicated via the Internet to the whole world regardless of where they are. This benefit from Cloud Computing has brought many sectors to satisfy the most critical consumer targets, including the healthcare industry and the financial sector. The proposed innovative mechanism for the closed sharing of private health data using attribute-based encryption in cloud computing. In view of partially truthful cloud storage, it can be contended that sufferers must have absolute control of their own privacy by encrypting their Public Health Record (PHR) files to allow fine-grained access to completely understand the patient-centric definition. The system tackles the specific difficulties of using a couple of owners and users of PHR. In this proposed work, we greatly minimize the difficulty of main administration while improving the assurances of privacy relative to previous works. As the results, the proposed scheme applies the Attribute Encryption Scheme (ABE) to encrypt the PHR data, so that patients can allow access to not only private customers, but also quite a variety of public domain clients with exclusive technical positions, credentials, and affiliations to gain the right of entry.

Authors

Institutions

Publication Details

Journal
International Journal of Systems Assurance Engineering and Management
Published
2024-11-29
DOI
https://doi.org/10.1007/s13198-024-02607-1
Citations
1
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance evaluation of secured storage access control system for public health records in cloud computing

J. Jospin Jeya, P. Malathi, S. Suganthi Devi
1 citations
International Journal of Systems Assurance Engineering and Management
Cryptography and Data Security
0.35
article

Performance evaluation of secured storage access control system for public health records in cloud computing

J. Jospin Jeya, P. Malathi, S. Suganthi Devi
article en
1 citations

Abstract

Cloud computing activities have grown exponentially today. Cloud computing is typically a service that is provided for computing as a service. It shares network or internet services, applications and info. Accordingly, resources and individuals are communicated via the Internet to the whole world regardless of where they are. This benefit from Cloud Computing has brought many sectors to satisfy the most critical consumer targets, including the healthcare industry and the financial sector. The proposed innovative mechanism for the closed sharing of private health data using attribute-based encryption in cloud computing. In view of partially truthful cloud storage, it can be contended that sufferers must have absolute control of their own privacy by encrypting their Public Health Record (PHR) files to allow fine-grained access to completely understand the patient-centric definition. The system tackles the specific difficulties of using a couple of owners and users of PHR. In this proposed work, we greatly minimize the difficulty of main administration while improving the assurances of privacy relative to previous works. As the results, the proposed scheme applies the Attribute Encryption Scheme (ABE) to encrypt the PHR data, so that patients can allow access to not only private customers, but also quite a variety of public domain clients with exclusive technical positions, credentials, and affiliations to gain the right of entry.

International Journal of Systems Assurance Engineering and Management
Annamalai University (IN), SRM Dental College (IN)
Partnerships for the goals
Openalex Percentile: Top 31%
Cryptography and Data Security
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.