The fast diffusion of electric vehicles (EVs) and the required supporting charging infrastructure have introduced new cybersecurity challenges that threaten reliability, electrical safety, and privacy for users and systems. This paper analyses the multifaceted cybersecurity risks associated with Electric Vehicle Supply Equipment (EVSE), including vulnerabilities in communication protocols, authentication mechanisms, and data integrity. It also analyzes key threat vectors and propose mitigation strategies aimed at enhancing the resilience of EV charging networks, with a focus on cybersecurity strategies within EVSE. The role of datasets and machine learning approaches in detecting and preventing cyber threats is investigated. By leveraging real-world data and advanced algorithms, we highlight how intelligent systems can improve threat detection and response.
Cybersecurity Challenges in Electric Vehicles Charging Infrastructure
Conti, StefaniaMembro del Collaboration Group
;Laudani, Antonino
Membro del Collaboration Group
2025-01-01
Abstract
The fast diffusion of electric vehicles (EVs) and the required supporting charging infrastructure have introduced new cybersecurity challenges that threaten reliability, electrical safety, and privacy for users and systems. This paper analyses the multifaceted cybersecurity risks associated with Electric Vehicle Supply Equipment (EVSE), including vulnerabilities in communication protocols, authentication mechanisms, and data integrity. It also analyzes key threat vectors and propose mitigation strategies aimed at enhancing the resilience of EV charging networks, with a focus on cybersecurity strategies within EVSE. The role of datasets and machine learning approaches in detecting and preventing cyber threats is investigated. By leveraging real-world data and advanced algorithms, we highlight how intelligent systems can improve threat detection and response.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.