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Trusted Data Storage Architecture for National Infrastructure.

Yichuan Wang1,2, Rui Fan1,2, Xiaolong Liang1,2

  • 1School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.

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This study introduces a blockchain-based system for trusted data storage in national infrastructure projects. It enhances data security, traceability, and intercommunication, moving infrastructure archives beyond the pre-information era.

Keywords:
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Area of Science:

  • Material Engineering
  • Computer Science
  • Data Management

Background:

  • National infrastructure relies on complex systems for public services and economic activity.
  • Current infrastructure archives face challenges in data collection, security, traceability, and intercommunication.
  • Existing data management practices lag behind, remaining in the pre-information era.

Purpose of the Study:

  • To propose a trusted data storage architecture for national infrastructure archives.
  • To address limitations in data collection, security, and intercommunication.
  • To leverage blockchain and federal learning for improved data management.

Main Methods:

  • Real-time data collection from sensors and IoT devices.
  • Data standardization into a unified format based on business flows.
  • Storing data on a blockchain for security and persistence.
  • Utilizing federal learning for knowledge extraction and cross-regional data modeling.

Main Results:

  • Ensured data security and persistence through blockchain storage.
  • Enabled data intercommunication across multiple regions and fields via federal learning.
  • Stored model parameters and results on the blockchain for transparency and traceability.

Conclusions:

  • The proposed blockchain architecture offers a trusted solution for national infrastructure data management.
  • Federal learning facilitates effective knowledge extraction and data sharing.
  • The system overcomes traditional challenges, advancing infrastructure archives into the information era.