Blockchain Socket Factories with RMI-Enabled Framework for Fine-Grained Healthcare Applications

Sensors (Basel). 2022 Aug 4;22(15):5833. doi: 10.3390/s22155833.

Abstract

The usage of digital and intelligent healthcare applications on mobile devices has grown progressively. These applications are generally distributed and access remote healthcare services on the user's applications from different hospital sources. These applications are designed based on client-server architecture and different paradigms such as socket, remote procedure call, and remote method invocation (RMI). However, these existing paradigms do not offer a security mechanism for healthcare applications in distributed mobile-fog-cloud networks. This paper devises a blockchain-socket-RMI-based framework for fine-grained healthcare applications in the mobile-fog-cloud network. This study introduces a new open healthcare framework for applied research purposes and has blockchain-socket-RMI abstraction level classes for healthcare applications. The goal is to meet the security and deadline requirements of fine-grained healthcare tasks and minimize execution and data validation costs during processing applications in the system. This study introduces a partial proof of validation (PPoV) scheme that converts the workload into the hash and validates it among mobile, fog, and cloud nodes during offloading, execution, and storing data in the secure form. Simulation discussions illustrate that the proposed blockchain-socket-RMI minimizes the processing and blockchain costs and meets the security and deadline requirements of fine-grained healthcare tasks of applications as compared to existing frameworks in work.

Keywords: RMI; blockchain; client–server; socket; storage.

MeSH terms

  • Blockchain*
  • Computer Security
  • Computers
  • Delivery of Health Care
  • Humans
  • Research Design

Grants and funding

This research work was partially supported by Dawood University of Engineering and Technology, where this research has received funding support from the NSRF via the Program Management Unit for Human Resources and Institutional Development, Research and Innovation (Grant number B16F640189).