Blockchain Intelligence: When Blockchain Meets Artificial Intelligence

TL;DR

This paper explores the integration of blockchain and artificial intelligence, highlighting how AI can address blockchain challenges like smart contract quality and malicious activity detection, with a case study demonstrating feasibility.

Contribution

It introduces the concept of blockchain intelligence, discussing its potential benefits and providing a case study to showcase its practical application and future research directions.

Findings

Demonstrates feasibility of blockchain intelligence through a case study

Highlights AI's role in improving blockchain security and maintenance

Suggests future research directions in blockchain-AI integration

Abstract

Blockchain is gaining extensive attention due to its provision of secure and decentralized resource sharing manner. However, the incumbent blockchain systems also suffer from a number of challenges in operational maintenance, quality assurance of smart contracts and malicious behaviour detection of blockchain data. The recent advances in artificial intelligence bring the opportunities in overcoming the above challenges. The integration of blockchain with artificial intelligence can be beneficial to enhance current blockchain systems. This article presents an introduction of the convergence of blockchain and artificial intelligence (namely blockchain intelligence). This article also gives a case study to further demonstrate the feasibility of blockchain intelligence and point out the future directions.