Large Language Models for Cyber Security: A Systematic Literature Review

HXHanxiang XuSWShenao WangNLNingke LiKWKailong WangYZYanjie Zhao

Huazhong University of Science and Technology · Hamad bin Khalifa University · +1 more institution

Indexed incrossref

Abstract

The rapid advancement of Large Language Models (LLMs) has opened up new opportunities for leveraging artificial intelligence in a variety of application domains, including cybersecurity. As the volume and sophistication of cyber threats continue to grow, there is an increasing need for intelligent systems that can automatically detect vulnerabilities, analyze malware, and respond to attacks. In this survey, we conduct a comprehensive review of the literature on the application of LLMs in cybersecurity (LLM4Security). By comprehensively collecting over 40K relevant papers and systematically analyzing 185 papers from top security and software engineering venues, we aim to provide a holistic view of how LLMs are…

Citation impact

62
total citations
FWCI
70.33
Percentile
100%
References
105
Citations per year

Authors

9

Topics & keywords

Keywords
  • Sophistication
  • Malware
  • Vulnerability (computing)
  • Variety (cybernetics)
  • Systematic review
  • Key (lock)
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