Sentinels of the Stream: Unleashing Large Language Models for Dynamic Packet Classification in Software Defined Networks -- Position Paper
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 11 of its 28 references that are in the map. First posted on arXiv 10 Feb 2024.
Builds on
11 of 28 references.
References · 11
- 2023GPT-4 Technical Reportcited by 18,132
- 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
- 2023Mistral 7Bcited by 3,065
- 2024Mixtral of Expertscited by 1,785
- 2023A Survey on Evaluation of Large Language Modelscited by 1,227
- 2023The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Onlycited by 755
- 2023Instruction Tuning with GPT-4cited by 676
- 2023Instruction Tuning for Large Language Models: A Surveycited by 617
- 2023LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Modelscited by 317
- 2021Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Textcited by 89
- 2023The Potential of Visual ChatGPT For Remote Sensingcited by 10
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Citing papers per year: 2024: 1.
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- 2024ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks