Hybrid Cache-Graph RAG: Enhancing Network Threat Analysis through Structural Reasoning and Memory Optimization
Abstract
This project implements and compares four Retrieval Augmented Generation (RAG) architectures for network security packet analysis: Traditional RAG, Graph RAG, Cache RAG, and our novel Hybrid Cache-Graph RAG that combines graph-based knowledge representation with caching benefits for enhanced network threat analysis.
Fields of Study & Subjects
Network Security and Intrusion Detection
Adversarial Robustness in Machine Learning
Network Packet Processing and Optimization
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 January 2026