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Security Management Method of Public Sentiment Analysis Based on Blockchain and Edge Computing.

Tao Liu, Qingyuan Liu, Ting Chen

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    |June 18, 2024
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    Summary

    This study introduces a secure blockchain-based method for public opinion analysis, enhancing data security, sharing, and credibility. The proposed solution ensures a more reliable environment for processing and storing public opinion data.

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    Area of Science:

    • Computer Science
    • Information Security
    • Social Computing

    Background:

    • The internet and social media have increased the importance of public opinion analysis.
    • Current methods face challenges in data security, sharing, and credibility, risking information leakage and inaccurate results.

    Purpose of the Study:

    • To propose a secure management method for public opinion analysis.
    • To address data security, sharing, and credibility issues in public opinion data.

    Main Methods:

    • A group key management framework with device grouping and mutual authentication for data security.
    • A dynamic key generation algorithm for secure data sharing.
    • A group key management algorithm for managing the group key lifecycle to ensure data credibility.
    • Implementation of a blockchain network using OpenEthereum for simulation.

    Main Results:

    • The proposed solution effectively addresses data security, sharing, and credibility concerns.
    • Simulation experiments confirm the solution's efficiency and scalability.
    • A more secure environment for public opinion data processing and storage is established.

    Conclusions:

    • The developed blockchain-based approach provides a robust solution for secure public opinion analysis.
    • The method enhances the reliability and trustworthiness of public opinion data.
    • The solution is efficient, scalable, and suitable for real-world applications.