Systems for determining regulatory compliance of smart contracts

摘要

A system for determining regulatory compliance of smart contracts is disclosed. The system may receive positive smart contracts that comply with regulations, convert positive section(s) of the positive smart contracts into a first set of intermediate representation of code, and train a neural network to classify smart contract sections. The system may then receive a first smart contract including first sections, convert the first sections into a second set of intermediate representation of code, classify the second set of intermediate representation of code as a first classification corresponding to the first set of intermediate representation of code or as a second classification not corresponding to the first set of intermediate representation of code, and generate for display a negative or positive indication based on the classification.