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Data Communication Based on MQTT in a Polymer Extrusion Process
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This study introduces a novel multi-channel blockchain scheme for trusted data sharing in Internet of Things (IoT) systems. It enhances both same-domain and cross-domain data sharing with privacy protection and efficient collaboration.

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Area of Science:

  • Computer Science
  • Information Security
  • Distributed Systems

Background:

  • The rapid expansion of the Internet of Things (IoT) presents significant challenges for traditional data sharing models.
  • Existing schemes struggle to meet the diverse data sharing requirements of both same-domain and cross-domain IoT devices.
  • There is a critical need for secure and efficient data sharing solutions that also ensure data privacy.

Purpose of the Study:

  • To propose a trusted data sharing scheme for IoT systems that addresses limitations of current approaches.
  • To enable efficient data sharing within the same domain while protecting data privacy.
  • To facilitate efficient and privacy-preserving collaboration between IoT devices across different domains.

Main Methods:

  • A multi-channel blockchain architecture is employed to isolate ledger data between different IoT domains.
  • Hybrid encryption and smart contracts are utilized for same-domain data sharing.
  • The CKKS algorithm and proxy nodes (PNs) facilitate privacy-protected cross-domain data sharing.
  • Decentralized Identity (DID) is used for autonomous identity management.
  • InterPlanetary File System (IPFS) is integrated for scalable data file storage.

Main Results:

  • The proposed scheme effectively isolates data between different IoT domains using a multi-channel approach.
  • It achieves efficient, privacy-preserving data sharing for both same-domain and cross-domain IoT devices.
  • Security analysis confirms the scheme meets the IND-CPA security model requirements.
  • Performance analysis demonstrates the scheme's utility in trusted IoT data sharing.

Conclusions:

  • The multi-channel blockchain-based scheme offers a robust solution for trusted data sharing in IoT environments.
  • It successfully balances the need for efficient data exchange with stringent privacy protection.
  • The integration of DID and IPFS further enhances the scheme's security, scalability, and usability.