AI for Enhancing Blockchain Security in Decen...

AI for Enhancing Blockchain Security in Decentralized Applications (d Apps)

Author Name : Abhay kumar Dalsaniya, Prof. Dr. Atul M. Gonsai

ABSTRACT Blockchain has come into the limelight because of its nature and transparency; it is the basis for decentralized applications (dApps). Still, such an opportunity presupposes security risks, including smart contract issues, the ability to double-spend, and unauthorized access. This work aims to critically investigate how using artificial intelligence (AI) can improve the security of blockchain systems in decentralized applications (dApps), especially an innovation of AI tools to prevent looming risks. With the help of machine learning (ML) and deep learning (DL), AI can discover discrepancies in blockchain networks, predict the risks or susceptibles in smart contracts, and stop frauds using real-time transaction tracking.