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Controlled blockchain enabled data record security for healthcare applications.

Authors :
Chintapalli, Siva Surya Narayana
Paramesh, S. P.
Nijaguna, G. S.
Jeyaraj, Jane Rubel Angelina
Subhash, P.
Source :
Neural Computing & Applications. Jun2024, Vol. 36 Issue 17, p9617-9629. 13p.
Publication Year :
2024

Abstract

The identity management (IM) solutions are designed for facilitating and managing in digital field that identifies to perform the authentication operation which has been widely used for the real-world applications. The blockchain-based IM solutions are provided which allows the user to take the control of his or her identity. The existing blockchain-based IM models and based identified the research gap and other opportunities that will improve the present research work. Also, the information for owners who are trustworthy, traceable, secure ownership for the medical data that created seriousness in the security issues. The techniques and systems were centralized made difficult for sharing the medical data that have increased the single point of failure. The blockchain technology enabled the transparent, dependable, and auditable computing in various industries that used the decentralized network in the public ledger. The main objective is to exchange data in a safe and secure manner by using unalterable logs. To achieve and to improve the transparency, security and privacy, the verifiable digital signature with controlled blockchain enabled data records (DVS-CBDR) is introduced. Performance study of the proposed system has been assessed by a number of studies, examining throughput (170 tx/s), transaction response time (21 s), latency (5 s), memory usage (200 MB), and CPU utilization (98 Hz) which is better than patient-controlled blockchain enabled electronic health records for healthcare (PcBEHR). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09410643
Volume :
36
Issue :
17
Database :
Academic Search Index
Journal :
Neural Computing & Applications
Publication Type :
Academic Journal
Accession number :
177481485
Full Text :
https://doi.org/10.1007/s00521-023-08835-z