Data Engineering for Dynamic and Secure Blockchain Networks in AI Applications

Authors

  • Sudheer Singamsetty Author

DOI:

https://doi.org/10.48047/f643ja89

Keywords:

Blockchain for AI, Secure Data Engineering, Dynamic Data Flows, Decentralized AI, Off Chain Storage, Smart Contracts, Data Provenance, Federated AI, Consensus-Aware Pipelines

Abstract

In the evolving landscape of Artificial Intelligence (AI), the need for dynamic, secure, and transparent data infrastructures has become more critical than ever. Blockchain technology, known for its decentralized, tamper-proof nature, has emerged as a promising solution to  address trust

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Published

10.05.2023

Issue

Vol. 13 No. 4 (2023): volume 13 issue 4(2023)

Section

Articles

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How to Cite

Data Engineering for Dynamic and Secure Blockchain Networks in AI Applications . (2023). International Journal of Information and Electronics Engineering, 13(4), 52-61. https://doi.org/10.48047/f643ja89