FedLiTeCAN : A Federated Lightweight Transformer for Fast and Robust CAN Bus Intrusion Detection
arXiv:2512.24088v1h-index: 19
Originality Synthesis-oriented
AI Analysis
This addresses security issues in vehicle networks, but appears incremental as it adapts existing methods to a specific domain.
The paper tackles the problem of intrusion detection in connected and autonomous vehicles by implementing a lightweight Transformer model, achieving fast and robust performance.
This work implements a lightweight Transformer model for IDS in the domain of Connected and Autonomous Vehicles