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Blockchain-enabled K-harmonic framework for industrial IoT-based systems.

K M Baalamurugan1, Prabu P2, Nebojsa Bacanin3

  • 1School of Computing Science and Engineering, Galgotias University, Greater Noida, India.

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Summary
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This study introduces a novel blockchain framework for Industrial Internet of Things (IIoT) systems, enhancing data sharing and storage efficiency. The proposed element-based K-harmonic means clustering and underweight data block algorithms improve security and performance in IIoT environments.

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Area of Science:

  • Computer Science
  • Information Technology
  • Cybersecurity

Background:

  • Industrial Internet of Things (IIoT) systems are rapidly expanding, enabling interconnected devices for intelligent decision-making.
  • Traditional security frameworks struggle with IIoT's scale, facing vulnerabilities, data lags, and authentication issues.
  • Blockchain technology offers potential for secure big data distribution in IIoT, but current methods lack efficiency in sharing and storage.

Purpose of the Study:

  • To propose an enhanced blockchain framework for efficient and secure data sharing and storage in Industrial Internet of Things (IIoT) systems.
  • To address the limitations of existing blockchain data-sharing methods concerning efficiency and storage capacity.
  • To improve the overall security and performance of IIoT networks through innovative data management techniques.

Main Methods:

  • An element-based K-harmonic means clustering algorithm (CA) was developed for effective data sharing among IIoT entities.
  • An underweight data block (UDB) algorithm was proposed to overcome storage space limitations.
  • The framework was evaluated using metrics like Sum of Squared Error (SSE), time complexity, and storage complexity with CPU utilization in MATLAB 2018a.

Main Results:

  • The proposed framework demonstrated improved data sharing capabilities within the IIoT network.
  • The underweight data block algorithm effectively addressed storage constraints.
  • Performance evaluations indicated enhanced efficiency in both data sharing and storage compared to traditional methods.

Conclusions:

  • The developed blockchain-based framework offers a robust solution for secure and efficient data management in Industrial Internet of Things (IIoT) environments.
  • The integration of K-harmonic means clustering and underweight data blocks significantly enhances IIoT system performance.
  • The proposed model is well-suited for the growing demands of IIoT applications requiring secure and efficient data handling.