Enterprise AI Framework for Blockchain Markets: Combining Fraud Detection, Volatility Prediction, and Transaction Intelligence
Abstract
The rapid growth of blockchain-based financial markets has created unprecedented opportunities alongside significant risks, particularly in the areas of fraud, market volatility, and transaction complexity. This study proposes an enterprise-level artificial intelligence (AI) framework designed to integrate fraud detection, volatility prediction, and transaction intelligence into a unified analytical system. The framework leverages advanced machine learning and generative AI techniques, including transformer models, graph neural networks, and probabilistic learning, to analyze both on-chain and off-chain data.
The rapid growth of blockchain-based financial markets has created unprecedented opportunities alongside significant risks, particularly in the areas of fraud, market volatility, and transaction complexity. This study proposes an enterprise-level artificial intelligence (AI) framework designed to integrate fraud detection, volatility prediction, and transaction intelligence into a unified analytical system. The framework leverages advanced machine learning and generative AI techniques, including transformer models, graph neural networks, and probabilistic learning, to analyze both on-chain and off-chain data.
Experimental insights indicate that the integrated approach significantly improves fraud detection precision and volatility forecasting accuracy compared to traditional models. Additionally, the incorporation of transaction intelligence enables deeper insights into user behavior and network dynamics. However, challenges such as computational complexity, data privacy concerns, and model interpretability remain critical considerations. This framework provides a comprehensive solution for modern blockchain analytics while highlighting avenues for future research and optimization.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 7 No. 6 (2024): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
13219-13227 |
Published |
November 14, 2024 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Giuseppe Attardi (%2024). Enterprise AI Framework for Blockchain Markets: Combining Fraud Detection, Volatility Prediction, and Transaction Intelligence. International Journal of Science, Research and Technology , Vol. 7 No. 6 (2024): International Journal of Science, Research and Technology (IJSRAT) , pp. 13219-13227. https://doi.org/10.15662/IJSRAT.2024.0706009 |
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