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Zero trust in edge computing environment: a blockchain based practical scheme.

Dawei Li1,2, Enzhun Zhang1, Ming Lei3

  • 1School of Computing Engineering, Nanjing Institute of Technology, Nanjing 211167, China.

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Summary
This summary is machine-generated.

This study introduces a blockchain-based zero trust architecture for smart city edge computing. It enhances security with a digital identity model and dynamic authentication, improving trust and traceability.

Keywords:
Internet of thingsblockchainconsensus algorithmedge computingsecret sharingzero trust

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Distributed Systems

Background:

  • Smart cities rely on edge computing for flexible services.
  • Edge computing in smart cities faces security challenges like fuzzy boundaries and dynamic authentication.
  • Existing solutions struggle with fine-grained access control and robust identity verification.

Purpose of the Study:

  • To propose a blockchain-based zero trust architecture for smart city edge computing.
  • To develop a digital identity model and dynamic authentication scheme for edge nodes.
  • To enhance security, trust, and traceability in edge computing environments.

Main Methods:

  • Developed a two-way authentication digital identity model between edge nodes and sensing terminals.
  • Utilized blockchain for identity data and behavior log bookkeeping to quantify and update trust values.
  • Implemented an improved RAFT consensus algorithm for multi-party consensus and consistent accounting.

Main Results:

  • Achieved fine-grained authorization and access control in edge computing.
  • Enhanced trust value quantification, transmission, and update mechanisms.
  • Improved traceability of security events and demonstrated robustness and efficiency.

Conclusions:

  • The proposed scheme effectively meets zero trust verification requirements in edge computing.
  • The blockchain-based approach enhances security and trust in smart city environments.
  • The solution offers an efficient and robust method for edge computing security.