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

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.