AI-Driven Smart Contract Auditing Framework with IPFS Integration for Enhancing Trust in Blockchain Business Processes
TL;DR
This work, being able to fill critical research gaps in research such as lack of real-time auditing and decentralized storage of tokens can offer the scalable solution of audit process in blockchain today.
Abstract
: The proposed AI-based smart contract auditing system in IPFS (InterPlanetary File System) to enhance the trust and security of blockchain based business process is presented in this paper. As the existing solutions focus on classical auditing or vulnerability detection, the given solution takes advantage of the fact that Artificial Intelligent algorithms can be applied to analyze the smart contract security automatically to determine the issues in real-time. The fact that IPFS is a synonym makes audit logs not tampered and transparent, which enhances up data integrity and confidence in blockchain-based systems. This work, being able to fill critical research gaps in research such as lack of real-time auditing and decentralized storage of tokens can offer the scalable solution of audit process in blockchain today. The suggested framework was aimed at auditing smart contracts to increase the level of security and trust in a decentralized setting, which is especially applied to Web 3.0 applications.