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Area of Science:

  • Computer Science
  • Healthcare Informatics
  • Network Security

Background:

  • Mobile healthcare applications are increasingly distributed, accessing remote services via client-server architectures.
  • Existing paradigms like socket and Remote Method Invocation (RMI) lack robust security for mobile-fog-cloud healthcare networks.
  • There is a need for secure and efficient frameworks to handle fine-grained healthcare tasks in distributed environments.

Purpose of the Study:

  • To devise a secure blockchain-socket-RMI-based framework for fine-grained healthcare applications in mobile-fog-cloud networks.
  • To introduce an open healthcare framework with abstraction level classes for applied research.
  • To meet security and deadline requirements while minimizing execution and data validation costs.

Main Methods:

  • Developed a novel blockchain-socket-RMI framework integrating blockchain technology with established network protocols.
  • Introduced a partial proof of validation (PPoV) scheme for workload hashing and validation across mobile, fog, and cloud nodes.
  • Implemented and simulated the framework for fine-grained healthcare tasks in a distributed mobile-fog-cloud environment.

Main Results:

  • The proposed blockchain-socket-RMI framework effectively minimizes processing and blockchain costs.
  • The framework successfully meets the security and deadline requirements for fine-grained healthcare tasks.
  • Demonstrated improved performance compared to existing frameworks in simulation.

Conclusions:

  • The blockchain-socket-RMI framework offers a secure and efficient solution for distributed mobile healthcare applications.
  • The PPoV scheme enhances data validation and security during offloading, execution, and storage.
  • This framework provides a viable option for applied research in secure mobile-fog-cloud healthcare systems.