A Survey of Large Language Models in Cybersecurity
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866916140644564992 |
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| author | da Silva, Gabriel de Jesus Coelho Westphall, Carlos Becker |
| author_facet | da Silva, Gabriel de Jesus Coelho Westphall, Carlos Becker |
| contents | Large Language Models (LLMs) have quickly risen to prominence due to their ability to perform at or close to the state-of-the-art in a variety of fields while handling natural language. An important field of research is the application of such models at the cybersecurity context. This survey aims to identify where in the field of cybersecurity LLMs have already been applied, the ways in which they are being used and their limitations in the field. Finally, suggestions are made on how to improve such limitations and what can be expected from these systems once these limitations are overcome. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_16968 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Survey of Large Language Models in Cybersecurity da Silva, Gabriel de Jesus Coelho Westphall, Carlos Becker Cryptography and Security Artificial Intelligence Large Language Models (LLMs) have quickly risen to prominence due to their ability to perform at or close to the state-of-the-art in a variety of fields while handling natural language. An important field of research is the application of such models at the cybersecurity context. This survey aims to identify where in the field of cybersecurity LLMs have already been applied, the ways in which they are being used and their limitations in the field. Finally, suggestions are made on how to improve such limitations and what can be expected from these systems once these limitations are overcome. |
| title | A Survey of Large Language Models in Cybersecurity |
| topic | Cryptography and Security Artificial Intelligence |
| url | https://arxiv.org/abs/2402.16968 |