A Survey of Large Language Models in the Domain of Cybersecurity
In recent years,with the rapid advancement of large language model technology,its application potential in various fields such as healthcare and law has become evident,simultaneously pointing to new directions for progress in the field of cybersecurity.This paper began by providing an overview of the foundational theories behind the design principles,training mechanisms,and core characteristics of large language models,offering the necessary background knowledge to readers.It then delved into the role of large language models in enhancing the capabilities to identify and respond to the growing threats online,detailing research progress in areas such as penetration testing,code security audit,social engineering attacks,and the assessment of professional cybersecurity knowledge.Finally,it analyzed the challenges related to security,cost,and interpretability of this technology,and looked forward to the future development direction.