New research has been published in Blockchain in Health Today Platform Approaches open access peer reviewed journal. Keep up to date and get an edge on innovation in the field. Explore why BHTY leads specialty journal leads the market. The deadline to submit your research, report, or editorial, is March 31, 2025. Upload your work to the submission portal here. Upload your work to
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Current Issue Highlights
A Secure and Reliable Fog-Enabled Architecture Using Blockchain With Functional Biased Elliptic Curve Cryptography Algorithm for Healthcare Services
Charu Awasthi, Satya Prakash Awasthi, PhD, Prashant Kumar Mishra, PhD
Fog computing is an emerging technology that extends the capability and efficiency of cloud computing networks by acting as a bridge among the cloud and the device. Fog devices can process an enormous volume of information locally, are transportable, and can be deployed on a variety of systems. Due to its real-time processing and event reactions, it is ideal for healthcare.
With such a wide range
of characteristics, new security and privacy concerns arise. Due to the safe transmission, arrival, and access, as well as the availability of medical devices; security creates new issues in the area of healthcare. As an outcome, fog computing necessitates a unique approach to security and privacy metrics, as opposed to standard cloud computing methods.
This article elucidates an effective blockchain depending on secure healthcare
services in fog computing. Fog nodes gather the information from the medical sensor devices and the data is validated using smart contracts in the blockchain network. We propose a Functional Biased Elliptic Curve Cryptography Algorithm (FB-ECC) to encrypt the data. The optimization is performed using Galactic Bee Colony Optimization Algorithm (GBCOA) to enhance the procedure of encryption. The performance of the suggested methodology is assessed and contrasted with traditional techniques. The
study demonstrates the combination of fog computing with blockchain increases the security of data transmission in healthcare services.
Learn more at https://doi.org/10.30953/bhty.v7.347
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