CAN Bus Anomaly Detection Framework

A privacy-preserving anomaly detection framework for in-vehicle CAN bus systems, combining a lightweight temporal Transformer encoder with federated learning. The framework enables collaborative detection of CAN bus anomalies across participants without sharing raw data.