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This study introduces a trusted edge platform integrating edge computing and blockchain for enhanced IoT security and privacy. The platform ensures data protection and improves scalability and portability for edge environments.

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Distributed Systems

Background:

  • Edge computing, evolving from IoT and cloud technologies, offers decentralized infrastructure near users, addressing latency and bandwidth challenges.
  • Increasing data generation in IoT raises significant security and privacy concerns within edge computing environments.
  • Existing edge computing and blockchain integrations often lack scalability, portability, and robust heterogeneous data processing.

Purpose of the Study:

  • To propose a trusted edge platform for integrating edge computing frameworks and blockchain networks to establish a secure edge environment.
  • To enhance data privacy for edge computing clients through a novel platform design.
  • To improve the scalability, portability, and business capabilities of edge platforms.

Main Methods:

  • Developed a lightweight, microservice-based trusted edge platform.
  • Integrated the Edgex Foundry framework to enhance platform portability and business capabilities.
  • Implemented security authentication microservices utilizing the Hyperledger Fabric blockchain for a reliable security mechanism.

Main Results:

  • The proposed platform effectively integrates edge computing and blockchain for a secure edge environment.
  • Experimental deployment on diverse hardware demonstrated the platform's usability and availability.
  • Testing of key workflows confirmed the platform meets real-world availability requirements.

Conclusions:

  • The trusted edge platform offers a viable solution for securing edge computing environments in IoT.
  • The microservice architecture and Edgex Foundry integration enhance the platform's efficiency, portability, and scalability.
  • The use of Hyperledger Fabric provides a robust security foundation for edge data privacy and integrity.