Sentinels of the Stream: Unleashing Large Language Models for Dynamic Packet Classification in Software Defined Networks -- Position Paper
<|reference_start|>Sentinels of the Stream: Unleashing Large Language Models for Dynamic Packet Classification in Software Defined Networks -- Position Paper: 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.<|reference_end|>
@article{murtuza2024sentinels,
    title={Sentinels of the Stream: Unleashing Large Language Models for Dynamic
  Packet Classification in Software Defined Networks -- Position Paper},
    author={Shariq Murtuza},
    journal={arXiv preprint arXiv:2402.07950},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.07950},
    primaryClass={cs.CR cs.CL}
}