With the release of OpenAI's ChatGPT, the field of large language models (LLM) saw an increase of academic interest in GPT based chat assistants. In the next few months multiple accesible large language models were released that included Meta's LLama models and Mistral AI's Mistral and Mixtral MoE models. These models are available openly for a wide array of purposes with a wide spectrum of licenses. These LLMs have found their use in a different number of fields like code development, SQL generation etc. In this work we propose our plan to explore the applicability of large language model in the domain of network security. We plan to create Sentinel, a LLM, to analyse network packet contents and pass a judgment on it's threat level. This work is a preliminary report that will lay our plan for our future endeavors.

翻译：随着OpenAI发布ChatGPT，大语言模型（LLM）领域对基于GPT的聊天助手的学术兴趣显著增长。随后的几个月内，多个可公开获取的大语言模型相继问世，包括Meta的LLama系列模型以及Mistral AI的Mistral和Mixtral MoE模型。这些模型在各类许可证下对广泛用途开放可用。LLM已在代码开发、SQL生成等多个领域得到应用。本研究提出探索大语言模型在网络安全领域适用性的计划。我们计划构建名为Sentinel的LLM，用以分析网络数据包内容并评估其威胁等级。本文作为初步报告，将奠定我们未来工作的规划基础。