FlowRAG: Retrieval-Augmented Intrusion Detection for UAV Networks
Intrusion detection for UAV networks where the topology, traffic, and threats change in real time. FlowRAG uses retrieval-augmented generation so the detector generalizes to unseen attacks without constant retraining.
My role: end-to-end — problem framing, model design, training, and adversarial evaluation.
Stack: Python, PyTorch, retrieval-augmented generation, federated learning.
Links
- Paper (IEEE EDGE 2026): arXiv preprint
- Code: TODO — add GitHub repo link
