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Reverse Engineering for Industrial Control Proprietary Protocols Based on Multi-Source Knowledge Fusion and LLM Inference
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AI
DOI：10.1016/j.inffus.2026.104468.png)
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Abstract
En 中文
• Introduces a RAG-based framework for industrial control protocol reverse engineering. • Designs a structure-aware segmentation strategy to preserve protocol field integrity. • Proposes a two-stage retrieval mechanism to enhance cross-protocol knowledge fusion. • Structured prompt templates boost LLM’s field-level reasoning for protocol analysis. • Achieves superior field segmentation and semantic inference on six proprietary protocols.
Keywords:
RAG-based framework
Industrial control protocols
Structure-aware segmentation
Two-stage retrieval
LLM inference
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