Скачать или смотреть Real-Time Monitoring for Cybersecurity in EV Ecosystem

Paper Title: A Real-time Monitoring Architecture for Enhanced Cybersecurity in the EV Ecosystem

Authors and Affiliation:
Rinith Reghunath, The Security Research Centre, Concordia University, Montreal, Quebec, Canada
Mohammad Ali Sayed, The Security Research Centre, Concordia University, Montreal, Quebec, Canada
Khaled Sarieddine, The Security Research Centre, Concordia University, Montreal, Quebec, Canada
Ribal Atallah, Hydro-Quebec Research Institute, Varennes, Quebec, Canada
Danial Jafarigiv, Hydro-Quebec Research Institute, Varennes, Quebec, Canada
Marthe Kassouf, Hydro-Quebec Research Institute, Varennes, Quebec, Canada
Chadi Assi, The Security Research Centre, Concordia University, Montreal, Quebec, Canada
Mohsen Ghafouri, The Security Research Centre, Concordia University, Montreal, Quebec, Canada

Abstract: Electric Vehicles (EV) have experienced a tremendous rise in popularity as they offer a sustainable alternative to conventional vehicles. However, the EV ecosystem is a complex system consisting of many interconnected components such as the EV Charging Station (CS) and the EV Charging Station Management System (CSMS). Given its connection to the smart grid and its direct impact on the transportation sector, securing the EV ecosystem is essential and requires the design of novel monitoring solutions. Previous studies proposed single-component detection mechanisms that cannot detect all potential anomalies across the system. Our work addresses this issue through the combination and correlation of monitoring data collected from the different EV ecosystem components. Our objective is to develop a real-time monitoring platform for attack detection in the public EV charging ecosystem that is based on the extension of the IEC 62351-7:2017 Network and System Management (NSM) standard. By adopting an international security standard, we ensure the monitoring platform is compatible with international power systems. To validate the utility of the approach, we integrate the monitoring framework with a real-time EV charging cosimulation testbed and discuss how it can be used to detect EV-based cyberattacks.