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

Job description

Abstract Securing the connected vehicle is no longer optional; it is a prerequisite for safe, trustworthy mobility in the era of electric and autonomous transportation. Keywords: Sustainable City, Electric Mobility, Intrusion Detection, Federated Graph Neural Networks, Centrality measures The rapid growth of electric vehicles is accompanied by an increasing interconnection between vehicles, charging stations, digital platforms, supervision systems, and energy management devices. This evolution fosters the emergence of interoperable and data-driven smart mobility services, but it also exposes the entire ecosystem to growing cyber risks. In these distributed environments, where multiple stakeholders cooperate, security, resilience, and trust become essential prerequisites for the large-scale deployment of connected electric mobility. In complement to the eTruckCharge project, which aims to develop a federated charging network and associated intelligent services, this doctoral project addresses a closely related scientific challenge: the collaborative detection of attacks and anomalies in connected electric mobility ecosystems. The objective is to design mechanisms capable of coping w...