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Next-Generation Blockchain Analytics: Generative AI for Fraud Detection and Token Volatility Forecasting

Francisco Herrera

Abstract

The rapid expansion of blockchain-based financial ecosystems has introduced new challenges in fraud detection and cryptocurrency volatility prediction, necessitating the development of next-generation analytics frameworks. This study explores the integration of generative artificial intelligence (AI) with blockchain analytics to enhance the detection of fraudulent transactions and improve token volatility forecasting in cloud-based environments. Generative AI models, including transformer architectures and graph neural networks, enable the identification of complex transaction patterns and the generation of synthetic datasets to address data scarcity. These capabilities significantly improve anomaly detection accuracy and robustness against evolving fraud strategies.

 

Simultaneously, the application of generative AI to volatility prediction leverages multimodal data sources such as historical price data, trading volume, and social sentiment, enabling more accurate and adaptive forecasting. Recent studies demonstrate that AI-based models outperform traditional statistical methods by capturing nonlinear dependencies and market dynamics . Cloud-based infrastructures further enhance scalability, enabling real-time processing of large-scale blockchain data.

 

The proposed framework highlights the synergy between generative AI and blockchain analytics, offering improved financial security, predictive accuracy, and system scalability. However, challenges related to interpretability, computational cost, and adversarial threats remain critical areas for further research and development.

Article Information

Journal

International Journal of Science, Research and Technology

Volume (Issue)

Vol. 6 No. 5 (2023): International Journal of Science, Research and Technology (IJSRAT)

DOI

https://doi.org/10.15662/IJSRAT.2023.0605021

Pages

10672-10680

Published

October 18, 2023
Copyright

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Francisco Herrera (%2023). Next-Generation Blockchain Analytics: Generative AI for Fraud Detection and Token Volatility Forecasting. International Journal of Science, Research and Technology , Vol. 6 No. 5 (2023): International Journal of Science, Research and Technology (IJSRAT) , pp. 10672-10680. https://doi.org/10.15662/IJSRAT.2023.0605021

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