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Cyber Risk Analysis on Electric Vehicle Systems via NIST CSF

  • Spyridon Sourmelis
  • , Weizhi Meng
  • Lancaster University

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

New cybersecurity challenges are often introduced by the rapid growth of the electric vehicle (EV) market. Currently, the inclusion of advanced digital systems and connectivity features to the vehicles, which were lacking in their past conventional form, brings to the table opportunities for malicious actors to explore. This paper aims to conduct a comprehensive cyber risk assessment for electric vehicles, especially the Tesla Model 3, by leveraging the National Institute of Standards and Technology Cybersecurity Framework (NIST CSF). It brings the ability to help organizations identify, protect, detect, respond and recover from incidents in a well-structured way. With the help of the framework, we identify critical threats to the EV systems, assess their likelihood and impact and propose mitigation strategies. The findings are analyzed to highlight the advantages of this approach and develop enhancements to increase the confidence and reduce the incident impacts on EV systems.
Original languageEnglish
Title of host publicationProceedings of the 2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
PublisherIEEE
Publication date2024
Pages378-386
ISBN (Print)979-8-3315-0621-6
ISBN (Electronic)979-8-3315-0620-9
DOIs
Publication statusPublished - 2024
Event23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications - Sanya, China
Duration: 17 Dec 202421 Dec 2024

Conference

Conference23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications
Country/TerritoryChina
CitySanya
Period17/12/202421/12/2024

Keywords

  • Electric Vehicle
  • Risk Assessment
  • Threat Analysis
  • NIST CSF
  • Risk Mitigation

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