Blockchain-Backed Cloud AI System for Smart Contract Risk Assessment in Decentralized Finance (DeFi)

Abstract

The authors presented a blockchain-backed cloud artificial intelligence (AI) system for smart contract risk assessment in decentralized finance (DeFi) that replaces the coarse-grained structure-awareness of graph neural networks (GNNs) with fine-grained structure-awareness while preserving contextually-rich interactions between nodes that are similar to transformer encoders. The program is able to identify a wide range of vulnerabilities and assign unambiguous risk rankings to smart contracts. People can be educated about decentralized finance without sacrificing their privacy through the use of a method called “federated learning.” This is just a single component of the job. The platform is constructed on top of a robust and adaptable cloud platform that utilizes on-chain risk evaluations that are anchored to ensure that they are able to be audited. The system has been proven to be accurate, fast, and simple to relocate based on a large number of simulations and real-world measurements of prohibited traffic behaviors, delay analysis, and economic consequences. The research also makes official the automatic and reliable risk analysis in decentralized finance, which makes the DeFi ecosystems significantly safer and more open.