EVECTOR: An orchestrator for analysing attacks in electric vehicles charging system
🤖 AI Summary
Existing simulation frameworks for electric vehicle (EV) charging systems struggle to effectively model diverse communication protocols and complex security threats, particularly lacking support for realistic attack scenarios. This work proposes EVECTOR, a novel framework that, for the first time, enables unified orchestration and simulation of cross-protocol, multi-type cyber-physical attacks. Built upon a modular architecture, EVECTOR integrates protocol parsing, attack modeling, a simulation engine, and a multidimensional evaluation system to support both quantitative and qualitative security and performance analysis of EV charging infrastructure. Case studies involving disconnection attacks and frame fuzzing attacks demonstrate the framework’s capability to uncover system vulnerabilities and performance degradation under representative threats, significantly advancing the understanding of security postures in EV charging ecosystems.
Application Category
📝 Abstract
Electric Vehicle (EV) charging infrastructure is critical for the widespread adoption of EVs, ensuring efficient and secure charging processes. Evaluating the security and performance of EV charging systems in real-world infrastructure poses significant challenges due to the diversity of information exchange between vehicles and charging stations/Electric Vehicle Supply Equipment (EVSE), including complex network protocols, scale of deployment and a variety of potential threats. Existing simulation frameworks are unable to handle complex security scenarios across these differing data exchange protocols. In this paper, we propose a novel EV orchestration framework: EVECTOR, which addresses the limitations of existing simulation systems by enabling both quantitative and qualitative analyses of EV charging scenarios. EVECTOR also provides a flexible attack orchestrator to simulate realistic attack behaviours on EV charging infrastructure. We validate the EVECTOR framework through two case studies: (a) cyber-physical attacks such as broken wire; and (b) cyber-specific attacks such as frame fuzzification. The case studies highlight the effectiveness of EVECTOR in providing deeper insights into the security and performance of EV charging systems.
Problem
Research questions and friction points this paper is trying to address.
Electric Vehicle charging security
simulation framework limitations
cyber-physical attacks
EVSE communication protocols
attack scenario analysis
Innovation
Methods, ideas, or system contributions that make the work stand out.
EV orchestration
charging infrastructure security
attack simulation
cyber-physical attacks
frame fuzzification
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