README.md

metadata

license: mit
datasets:
  - Mireu-Lab/NSL-KDD
metrics:
  - accuracy
  - f1
base_model: Qwen/Qwen2.5-0.5B
pipeline_tag: question-answering
tags:
  - intrusion-detection
  - cybersecurity
  - llm
  - qwen
  - tabular-reasoning

PCF_ID: A Novel Prompt Cast Framework for Intrusion Detection

📌 Model Overview

PCF_ID-0.5B is a fine-tuned version of Qwen2.5-0.5B, adapted for network intrusion detection using the Prompt Cast Framework (PCF-ID). By transforming structured tabular records into semantically rich Question–Reasoning–Answer (Q-R-A) prompts, PCF_ID enables large language models to effectively reason over cybersecurity data.

PCF_ID-0.5B significantly outperforms:

• Raw LLMs (e.g., vanilla Qwen2.5-0.5B),
• Traditional machine learning models (e.g., Random Forest, SVM),
• Advanced graph neural networks (GNNs).

💻 Code & Reproduction

The full framework, preprocessing pipeline, and evaluation scripts are available at:
🔗 https://github.com/Zaneph1/PCF_ID