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

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.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905899
Citations
2
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.70
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article

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

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2 citations
Distributed systems and fault tolerance
0.70
article

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

R. Atallah, M. A. Sayed, Danial Jafarigiv, Mohsen Ghafouri, K. Sarieddine, Chadi Assi, Marthe Kassouf, Rinith Reghunath
article en
2 citations

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.

Hydro-Québec (CA), Concordia University (CA)
Life in Land
Openalex Percentile: Top 25%
Distributed systems and fault tolerance
0.70
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