EVECTOR: An orchestrator for analysing attacks in electric vehicles charging system
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arXiv
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| Auteurs principaux: | , , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866917275404075008 |
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| author | Jha, Devki Nandan Szydlo, Tomasz Valizadeh, Nima Sham, Ringo Edwards, Aleksandra Kumar, Amrit Kaur, Amanjot Wei, Bo Kumar, Vijay Lim, Kai Li Ranjan, Rajiv Rana, Omer |
| author_facet | Jha, Devki Nandan Szydlo, Tomasz Valizadeh, Nima Sham, Ringo Edwards, Aleksandra Kumar, Amrit Kaur, Amanjot Wei, Bo Kumar, Vijay Lim, Kai Li Ranjan, Rajiv Rana, Omer |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_13926 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | EVECTOR: An orchestrator for analysing attacks in electric vehicles charging system Jha, Devki Nandan Szydlo, Tomasz Valizadeh, Nima Sham, Ringo Edwards, Aleksandra Kumar, Amrit Kaur, Amanjot Wei, Bo Kumar, Vijay Lim, Kai Li Ranjan, Rajiv Rana, Omer Other Computer Science 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. |
| title | EVECTOR: An orchestrator for analysing attacks in electric vehicles charging system |
| topic | Other Computer Science |
| url | https://arxiv.org/abs/2602.13926 |