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Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

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RBEF: Ransomware Efficient Public Blockchain Framework for Digital Healthcare Application.

Abdullah Lakhan¹, Orawit Thinnukool², Tor Morten Groenli¹

¹School of Economics, Innovation and Technology, and Kristiania University College, 0107 Oslo, Norway.

Sensors (Basel, Switzerland)

|June 10, 2023

Summary

This study introduces a new ransomware blockchain efficient framework (RBEF) to detect and process ransomware attacks in digital healthcare networks. The RBEF significantly reduces transaction delays and processing costs for secure remote healthcare data.

Keywords:

RBEF blockchain delays ransomware sandbox static and dynamic analysis

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Area of Science:

Cybersecurity
Health Informatics
Blockchain Technology

Background:

Digital healthcare offers convenient remote services, but faces security challenges from cyberattacks.
Blockchain technology enhances secure data processing in healthcare but remains vulnerable to ransomware.
Ransomware attacks disrupt healthcare data transactions on blockchain networks.

Purpose of the Study:

To introduce a novel ransomware blockchain efficient framework (RBEF) for digital healthcare networks.
To detect and mitigate transaction ransomware attacks efficiently.
To minimize transaction delays and processing costs during ransomware attack detection.

Main Methods:

The ransomware blockchain efficient framework (RBEF) was developed using Kotlin, Android, Java, and socket programming.
Integrated Cuckoo Sandbox static and dynamic analysis API for compile-time and runtime attack detection.
Designed to detect code-, data-, and service-level ransomware attacks within blockchain systems.

Main Results:

The RBEF demonstrated a reduction in transaction delays ranging from 4 to 10 minutes.
Achieved a 10% decrease in processing costs for healthcare data compared to existing systems.
Successfully identified and processed transaction ransomware attacks in simulated digital healthcare networks.

Conclusions:

The RBEF effectively addresses ransomware threats in blockchain-based digital healthcare systems.
Offers improved efficiency in terms of reduced delays and costs for secure healthcare data transactions.
Provides a robust solution for enhancing the security and reliability of digital healthcare networks.