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Updated: Apr 30, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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使用WGAN模型进行网络流量数据增强,由LLM指导

Jumanah Hmoud Alyoubi1, Miada Almasre1, Aishah Aseeri1

  • 1Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Sensors (Basel, Switzerland)
|December 31, 2025
PubMed
概括

本研究介绍了一种使用图形条件生成模型和大型语言模型 (LLM) 来创建合成网络流量的新框架. 这种方法有效地解决了物联网 (IoT) 安全分析中的类不平衡,提高了设备识别准确度.

关键词:
物联网设备识别物联网设备识别物联网安全物联网安全物联网安全在法学士 (LLM) 课程中.ML ML ML 在这里.这是一个WGAN车辆.网络流量分类网络流量分类.

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