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Integrating Blockchain with AI: A Data-Driven Model for Secure, Scalable Decentralized Finance (DeFi) Systems

Damodar Bihani, Bright Chibunna Ubamadu, Andrew Ifesinachi Daraojimba

Abstract

The rapid evolution of decentralized finance (DeFi) has ushered in transformative opportunities for global financial inclusion, digital asset management, and permissionless transactions. However, the growth of DeFi also presents significant challenges related to data integrity, security, scalability, and regulatory compliance. This paper proposes a novel data- driven model that integrates blockchain technology with artificial intelligence (AI) to address these challenges and optimize DeFi operations. By leveraging the transparency, immutability, and decentralization of blockchain in conjunction with AI's predictive analytics, automation, and pattern recognition capabilities, this integrated framework enhances the resilience, efficiency, and scalability of DeFi systems. The model introduces an intelligent smart contract ecosystem powered by AI algorithms for fraud detection, anomaly monitoring, and automated compliance auditing. Machine learning techniques are applied to real-time transactional data across decentralized exchanges (DEXs), liquidity pools, and lending platforms to identify suspicious behaviors and mitigate risks proactively. Furthermore, the use of blockchain ensures tamper-proof audit trails, consensus-driven trust, and transparent governance, thus increasing user confidence and institutional adoption. Scalability is addressed through the application of layer-2 blockchain solutions and AI-based resource optimization strategies, enabling faster transaction throughput and reduced latency. Privacy-preserving AI models such as federated learning and homomorphic encryption are integrated to maintain user confidentiality while allowing intelligent data analysis. The paper also highlights potential use cases in automated asset management, decentralized credit scoring, and cross-chain interoperability. This interdisciplinary approach presents a secure, adaptive, and scalable paradigm for the next generation of DeFi sys

Keywords

Blockchain Artificial Intelligence Decentralized Finance Smart Contracts Scalable DeFi Systems Fraud Detection AI-Blockchain Integration Secure Transactions Financial Innovation Predictive

References

Agho, G., Ezeh, M. O., Isong, M., Iwe, D., & Oluseyi, K. A. (2021). Sustainable pore pressure prediction and its impact on geo-mechanical modelling for enhanced drilling operations. World Journal of Advanced Research and Reviews, 12(1), 540–557. https://doi.org/10.30574/wjarr.2021.12.1.0536 Ajayi, A. J. (2024). A Review of Innovative Approaches in Renewable Energy Storage. International Journal of Management and Organizational Research, 3(1), 149-162. https://doi.org/10.54660/IJMOR.2024.3.1.149-162 Ajayi, A. J., Agbede, O. O., Akhigbe, E. E., & Egbuhuzor, N. S. (2024). Enhancing public sector productivity with AI-powered SaaS in e-governance systems. International Journal of Multidisciplinary Research and Growth Evaluation, 5(1), 1243-1259. https://doi.org/10.54660/.IJMRGE.2024.5.1-1243-1259 Ajayi, A. J., Agbede, O. O., Akhigbe, E. E., & Egbuhuzor, N. S. (2023). Evaluating the economic effects of energy policies, subsidies, and tariffs on markets. International Journal of Management and Organizational Research, 2(1), 31-47. https://doi.org/10.54660/IJMOR.2023.2.1.31-47 Ajayi, A. J., Agbede, O. O., Akhigbe, E. E., & Egbuhuzor, N. S. (2024). Modeling Financial Feasibility of Energy Storage Technologies for Grid Integration and Optimization. IRE Journals, 7(9), 381-396. https://doi.org/10.IRE.2024.7.9.1707091 Ajayi, A. J., Akhigbe, E. E., Egbuhuzor, N. S., & Agbede, O. O. (2022). Economic analysis of transitioning from fossil fuels to renewable energy using econometrics. International Journal of Social Science Exceptional Research, 1(1), 96-110. https://doi.org/10.54660/IJSSER.2022.1.1.96-110 Ajayi, A. J., Akhigbe, E. E., Egbuhuzor, N. S., & Agbede, O. O. (2021). Bridging data and decision-making: AI-enabled analytics for project management in oil and gas infrastructure. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), 567-580. https://doi.org/10.54660/.IJMRGE.2021.2.1.567-580 Ajayi, A. M., Omokanye, A. O., Olowu, O., Adeleye, A. O., Omole, O. M., & Wada, I. U. (2024). Detecting insider threats in banking using AI-driven anomaly detection with a data science approach to cybersecurity. Ajiga, D. I., Adeleye, R. A., Asuzu, O. F., Owolabi, O. R., Bello, B. G., & Ndubuisi, N. L. (2024). Review of AI techniques in financial forecasting: applications in stock market analysis. Finance & Accounting Research Journal, 6(2), 125-145. Ajiga, D. I., Adeleye, R. A., Tubokirifuruar, T. S., Bello, B. G., Ndubuisi, N. L., Asuzu, O. F., & Owolabi, O. R. (2024). Machine learning for stock market forecasting: a review of models and accuracy. Finance & Accounting Research Journal, 6(2), 112-124. Ajiga, D. I., Hamza, O., Eweje, A., Kokogho, E., & Odio, P. E. (2024). Assessing the role of HR analytics in transforming employee retention and satisfaction strategies. International Journal of Social Science Exceptional Research, 3(1), 87-94. https://doi.org/10.54660/IJSSER.2024.3.1.87- 94​:contentReference[oaicite:0]{index=0}. Ajiga, D. I., Hamza, O., Eweje, A., Kokogho, E., & Odio, P. E. (2024). Exploring how predictive analytics can be leveraged to anticipate and meet emerging consumer demands. International Journal of Social Science Exceptional Research, 3(1), 80-86. https://doi.org/10.54660/IJSSER.2024.3.1.80- 86​:contentReference[oaicite:1]{index=1}. Ajiga, D. I., Hamza, O., Eweje, A., Kokogho, E., & Odio, P. E. (2024). Investigating the use of big data analytics in predicting market trends and consumer behavior. International Journal of Management and Organizational Research, 4(1), 62-69. https://doi.org/10.54660/IJMOR.2024.3.1.62- 69​:contentReference[oaicite:2]{index=2}. Ajiga, D. I., Hamza, O., Eweje, A., Kokogho, E., & Odio, P. E. (2024). Evaluating Agile's impact on IT financial planning and project management efficiency. International Journal of Management and Organizational Research, 3(1), 70-77. https://doi.org/10.54660/IJMOR.2024.3.1.70- 77​:contentReference[oaicite:3]{index=3}. Ajiga, D. I., Hamza, O., Eweje, A., Kokogho, E., & Odio, P. E. (2025): Data-Driven Strategies for Enhancing Student Success in Underserved US Communities. Ajiga, D. I., Hamza, O., Eweje, A., Kokogho, E., & Odio, P. E. (2025): Developing Interdisciplinary Curriculum Models for Sustainability in Higher Education: A Focus on Critical Thinking and Problem Solving. Ajiga, D. I., Ndubuisi, N. L., Asuzu, O. F., Owolabi, O. R., Tubokirifuruar, T. S., & Adeleye, R. A. (2024). AI-driven predictive analytics in retail: a review of emerging trends and customer engagement strategies. International Journal of Management & Entrepreneurship Research, 6(2), 307-321. Ajiga, D., Ayanponle, L., & Okatta, C. G. (2022). AI-powered HR analytics: Transforming workforce optimization and decision-making. International Journal of Science and Research Archive, 5(2), 338-346. Akhigbe, E. E. (2025). Advancing geothermal energy: A review of technological developments and environmental impacts. Gulf Journal of Advance Business Research, 3(2), 700-711. https://doi.org/10.51594/gjabr.v3i2.104 Akhigbe, E. E., Ajayi, A. J., Agbede, O. O., & Egbuhuzor, N. S. (2025). Development of innovative financial models to predict global energy commodity price trends. International Research Journal of Modernization in Engineering, Technology and Science, 7(2), 509-523. https://doi.org/10.56726/IRJMETS67149 Akhigbe, E. E., Egbuhuzor, N. S., Ajayi, A. J., & Agbede, O. O. (2022). Optimization of investment portfolios in renewable energy using advanced financial modeling techniques. International Journal of Multidisciplinary Research Updates, 3(2), 40-58. https://doi.org/10.53430/ijmru.2022.3.2.0054 Akhigbe, E. E., Egbuhuzor, N. S., Ajayi, A. J., & Agbede, O. O. (2021). Financial valuation of green bonds for sustainability-focused energy investment portfolios and projects. Magna Scientia Advanced Research and Reviews, 2(1), 109-128. https://doi.org/10.30574/msarr.2021.2.1.0033 Akhigbe, E. E., Egbuhuzor, N. S., Ajayi, A. J., & Agbede, O. O. (2023). Techno-Economic Valuation Frameworks for Emerging Hydrogen Energy and Advanced Nuclear Reactor Technologies. IRE Journals, 7(6), 423-440. https://doi.org/10.IRE.2023.7.6.1707094 Akhigbe, E. E., Egbuhuzor, N. S., Ajayi, A. J., & Agbede, O. O. (2024). Designing risk assessment models for large-scale renewable energy investment and financing projects. International Journal of Multidisciplinary Research and Growth Evaluation, 5(1), 1293- https://doi.org/10.54660/.IJMRGE.2024.5.1.1293-1308 Akintobi, A. O., Okeke, I. C., & Ajani, O. B. (2022). Advancing economic growth through enhanced tax compliance and revenue generation: Leveraging data analytics and strategic policy reforms. International Journal of Frontline Research in Multidisciplinary Studies, 1(2), 085–093. Frontline Research Journals. Akintobi, A. O., Okeke, I. C., & Ajani, O. B. (2022). Transformative tax policy reforms to attract foreign direct investment: Building sustainable economic frameworks in emerging economies. International Journal of Multidisciplinary Research Updates, 4(1), 008–015. Orion Scholar Journals. Akintobi, A. O., Okeke, I. C., & Ajani, O. B. (2023). Innovative solutions for tackling tax evasion and fraud: Harnessing blockchain technology and artificial intelligence for transparency. Int J Tax Policy Res, 2(1), 45-59. Akintobi, A. O., Okeke, I. C., & Ajani, O. B. (2023). Strategic tax planning for multinational corporations: Developing holistic approaches to achieve compliance and profit optimization. International Journal of Multidisciplinary Research Updates, 6(1), 025– Orion Scholar Journals. Alabi, A. A., Mustapha, S. D., & Akinade, A. O. (2025). Leveraging Advanced Technologi