Chercheur Doctorant H/F - PhD : Federated Graph Neural Networks for Intrusion Detection in electric vehicle networks

Tasks

• Aggregate model weights without sharing raw data
• Benchmark against state of the art methods
• Design federated learning intrusion detection framework
• Evaluate intrusion detection performance on realistic charging scenarios
• Extract centrality metrics and graph features
• Generate datasets for attack scenarios
• Model electric vehicle cyber physical systems as graphs
• Train graph neural network models on local data

Perks/Benefits

• N/A

Skills/Tech-stack

Anomaly Detection | CPS | Centrality Measures | Complex Network Analysis | Complex network | Cyber Security | Data Governance | Data Privacy | Denial of Service | Federated Learning | Graph Neural Networks | Intrusion Detection | IoT | Model aggregation | Network Analysis | Neural Networks