Integrating Blockchain with AI: A Data-Driven Model for Secure, Scalable Decentralized Finance (DeFi) Systems (WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY)
Summary
- The research conducted a systematic review following the PRISMA framework starting with an initial pool of 322 articles on blockchain and AI convergence.p.6
- During eligibility screening, 247 articles were excluded due to irrelevance, lack of technical focus, or absence of a data-driven modeling approach.p.6
- A total of 41 high-quality publications published from 2020 onwards were selected for the final synthesis and model design.p.6
- Decentralized Finance (DeFi) platforms leverage self-executing smart contracts on blockchain networks to facilitate peer-to-peer financial services without traditional intermediaries.p.2
- The proposed data-driven model integrates a Blockchain Layer, an AI Layer, and a Data Layer to enable real-time risk assessment and automated contract auditing.p.7
- Privacy-preserving machine learning techniques such as federated learning and differential privacy maintain user data confidentiality within public ledgers.p.11
Key insights
- Embedding artificial intelligence into smart contract lifecycles allows for continuous formal verification, dynamic parameter adjustments, and proactive vulnerability detection.p.9
- Machine learning classifiers analyze real-time transactional flows across decentralized exchanges to flag flash loan attacks, sybil behavior, and wash trading.p.10
- Predictive risk profiling enables lending protocols to dynamically adjust interest rates and collateralization ratios based on borrower behavioral data.p.10
- AI-driven resource management on layer-2 networks optimizes transaction routing and predictive load balancing to reduce latency and gas fees.p.10
- Federated learning combined with zero-knowledge proofs allows AI models to train on distributed financial datasets without exposing personal user information.p.11
- Decentralized credit scoring systems powered by machine learning expand credit access for unbanked populations by evaluating alternative behavioral data.p.11
- Cross-chain data interoperability can be automated using semantic AI models and decentralized oracles to harmonize transactions across fragmented networks.p.12
Topics and entities
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