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This research introduces a Blockchain-Based Knowledge Repository (BBKR) tailored for the secure storage and management of training data crucial for Artificial Intelligence and Machine Learning (AIML) models. Leveraging Ethereum blockchain technology and smart contracts, the BBKR ensures data integrity, enhances security measures, and promotes decentralization principles. Through rigorous methodologies encompassing data validation, decentralized access control, and scalable transaction mechanisms, the BBKR demonstrates efficacy in upholding data integrity, enhancing scalability, and fortifying security provisions. Empirical evaluations underscore its transformative potential in revolutionizing AIML data management paradigms, offering a robust foundation for further advancements in the field.

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Blockchain-Based Knowledge Repository for Training Artificial Intelligence Models: Bridging AIML with Decentralized Data

  • 章节

  • 发表日期：

    2025年

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  • Sumon Nath,
  • H. Azath,
  • Subhash Chandra Patel,
  • Maram Y. Al-Safarini,
  • Hemraj Shobharam Lamkuche,
  • Sadi Irziqat

摘要

This research introduces a Blockchain-Based Knowledge Repository (BBKR) tailored for the secure storage and management of training data crucial for Artificial Intelligence and Machine Learning (AIML) models. Leveraging Ethereum blockchain technology and smart contracts, the BBKR ensures data integrity, enhances security measures, and promotes decentralization principles. Through rigorous methodologies encompassing data validation, decentralized access control, and scalable transaction mechanisms, the BBKR demonstrates efficacy in upholding data integrity, enhancing scalability, and fortifying security provisions. Empirical evaluations underscore its transformative potential in revolutionizing AIML data management paradigms, offering a robust foundation for further advancements in the field.