JIEAS OPEN ACCESS

Journal of Industrial Engineering and Applied Science

ISSN:3005-608X (print) | ISSN:3005-6071 (online) | Publication Frequency: Bimonthly

OPEN ACCESS|Research Article||1 April 2025

Combining Blockchain and AI to Optimize the Intelligent Risk Control Mechanism in Decentralized Finance

* Corresponding Author1: Tianzuo Zhang, E-Mail: tianzuoz@usc.edu

Publication

Accepted 2025 March 20 ; Published 2025 April 1

Journal of Industrial Engineering and Applied Science, 2025, 3(2), 3005-6071.

Abstract

This study explores the optimized application of combining blockchain (Blockchain) and artificial intelligence (AI) in the intelligent risk control of decentralized finance (DeFi). Although the decentralization and transparency of DeFi have driven financial innovation, they have also introduced risks related to market manipulation, smart contract vulnerabilities, and liquidity. Traditional centralized risk control approaches struggle to adapt. This research proposes a blockchain+AI-based intelligent risk control framework. Blockchain’s tamper-resistance enhances transaction security, while AI’s intelligent learning capabilities improve risk identification. Experimental results show that this model outperforms traditional solutions in detection accuracy (94.1%), false alarm rate (2.1%), and detection latency (180ms), and it remains robust under high market volatility. The findings suggest that combining blockchain and AI can effectively strengthen DeFi risk control, enhance system transparency and security, and provide theoretical and practical directions for future intelligent and automated risk management.

Keywords

Blockchain , Artificial Intelligence , Decentralized Finance (DeFi) , Risk Management , Intelligent Risk Control , Smart Contracts .

Metadata

Pages: 26-32

References: 11

Disciplines: Artificial Intelligence Technology

Subjects: Cybersecurity

Cite This Article

APA Style

Zhang, T. (2025). Combining blockchain and ai to optimize the intelligent risk control mechanism in decentralized finance. Journal of Industrial Engineering and Applied Science, 3(2), 26-32. https://doi.org/10.70393/6a69656173.323739

Acknowledgments

The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.

FUNDING

Not applicable.

INSTITUTIONAL REVIEW BOARD STATEMENT

Not applicable.

DATA AVAILABILITY STATEMENT

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

INFORMED CONSENT STATEMENT

Not applicable.

CONFLICT OF INTEREST

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

AUTHOR CONTRIBUTIONS

Not applicable.

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PUBLISHER'S NOTE

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cc Copyright © 2025 The Author(s). Published by Southern United Academy of Sciences.
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