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Large Language Models for Cyber Security: A Systematic Literature Review
May 9, 2024, 4:11 a.m. | HanXiang Xu, ShenAo Wang, Ningke Li, Yanjie Zhao, Kai Chen, Kailong Wang, Yang Liu, Ting Yu, HaoYu Wang
cs.CR updates on arXiv.org arxiv.org
Abstract: The rapid advancement of Large Language Models (LLMs) has opened up new opportunities for leveraging artificial intelligence in various 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 …
advancement artificial artificial intelligence arxiv can continue cs.ai cs.cr cyber cyber security cybersecurity cyber threats detect domains intelligence language language models large literature llms opportunities rapid review security systems threats
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