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

Tasks

• Benchmark against state of the art intrusion detection methods
• Design federated graph neural network intrusion detection framework
• Evaluate detection performance on realistic charging infrastructure scenarios
• Extract centrality metrics and graph features
• Generate datasets for attack and anomaly scenarios
• Implement federated learning aggregation methods
• Model electric vehicle cyber physical systems as graphs

Perks/Benefits

• N/A

Skills/Tech-stack

Centrality Measures | Complex Network Analysis | Complex network | Cyber Security | Data Governance | Data Privacy | Deep learning | Federated Learning | Graph Neural Networks | Intrusion Detection | IoT | Machine Learning | Network Analysis | Network intrusion | Network intrusion detection | Neural Networks | Python | Robustness | Scalability