Large Language Models for Blockchain Security: A Systematic Literature Review

Zheyuan He; Zihao Li; Sen Yang

Paper 2024/477

Large Language Models for Blockchain Security: A Systematic Literature Review

Zheyuan He

, University of Electronic Science and Technology of China

Zihao Li, The Hong Kong Polytechnic University (PolyU)

Sen Yang, University of Electronic Science and Technology of China

Abstract

Large Language Models (LLMs) have emerged as powerful tools in various domains involving blockchain security (BS). Several recent studies are exploring LLMs applied to BS. However, there remains a gap in our understanding regarding the full scope of applications, impacts, and potential constraints of LLMs on blockchain security. To fill this gap, we conduct a literature review on LLM4BS. As the first review of LLM's application on blockchain security, our study aims to comprehensively analyze existing research and elucidate how LLMs contribute to enhancing the security of blockchain systems. Through a thorough examination of scholarly works, we delve into the integration of LLMs into various aspects of blockchain security. We explore the mechanisms through which LLMs can bolster blockchain security, including their applications in smart contract auditing, identity verification, anomaly detection, vulnerable repair, and so on. Furthermore, we critically assess the challenges and limitations associated with leveraging LLMs for blockchain security, considering factors such as scalability, privacy concerns, and adversarial attacks. Our review sheds light on the opportunities and potential risks inherent in this convergence, providing valuable insights for researchers, practitioners, and policymakers alike.

Note: update contents with some tables and figures.

Metadata

Available format(s): PDF
Category: Applications
Publication info: Preprint.
Keywords: Blockchain Security Large Language Model Survey
Contact author(s): ecjgvmhc @ gmail com
cszhli @ comp polyu edu hk
History: 2024-04-21: last of 2 revisions; 2024-03-21: received; See all versions
Short URL: https://ia.cr/2024/477
License: CC BY

BibTeX

@misc{cryptoeprint:2024/477,
      author = {Zheyuan He and Zihao Li and Sen Yang},
      title = {Large Language Models for Blockchain Security: A Systematic Literature Review},
      howpublished = {Cryptology ePrint Archive, Paper 2024/477},
      year = {2024},
      note = {\url{https://eprint.iacr.org/2024/477}},
      url = {https://eprint.iacr.org/2024/477}
}