Extension: Fraud Detection in Decentralized Finance (DeFi) Transactions using ML and Smart Contracts
Fraud Detection in Decentralized Finance (DeFi) Transactions using ML and Smart Contracts presents the following source proposition: Using an Ethereum dataset ($\approx 1.2$ million transactions), the proposed model achieved an F1-score of 95.70% with XGBoost, outperforming traditional algorithms. This proposition is pertinent to Kaal's source-bound claim that Applying Web3 technology to chit funds replaces the foremen and their commission with smart contracts, which eliminates the risk that a foreman absconds with the fund. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.
defismart-contractsdecentralizationhistorical-responsescholarly-literaturesemantic-scholar