Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study

TL;DR

This paper explores how Generative AI techniques can enhance blockchain networks by improving scalability, security, and performance, supported by a case study demonstrating faster convergence and better throughput using a generative diffusion model.

Contribution

It introduces GAI methods for blockchain challenges, discusses integration solutions, and provides a case study showing improved network performance with a generative diffusion model.

Findings

Generative diffusion models outperform traditional AI in blockchain optimization

GAI enhances security by detecting unknown attacks and vulnerabilities

Experimental results show improved throughput and latency in blockchain networks

Abstract

Generative Artificial Intelligence (GAI) has recently emerged as a promising solution to address critical challenges of blockchain technology, including scalability, security, privacy, and interoperability. In this paper, we first introduce GAI techniques, outline their applications, and discuss existing solutions for integrating GAI into blockchains. Then, we discuss emerging solutions that demonstrate the effectiveness of GAI in addressing various challenges of blockchain, such as detecting unknown blockchain attacks and smart contract vulnerabilities, designing key secret sharing schemes, and enhancing privacy. Moreover, we present a case study to demonstrate that GAI, specifically the generative diffusion model, can be employed to optimize blockchain network performance metrics. Experimental results clearly show that, compared to a baseline traditional AI approach, the proposed generative diffusion model approach can converge faster, achieve higher rewards, and significantly improve the throughput and latency of the blockchain network. Additionally, we highlight future research directions for GAI in blockchain applications, including personalized GAI-enabled blockchains, GAI-blockchain synergy, and privacy and security considerations within blockchain ecosystems.