Abstract
As connected vehicles (CVs) play an increasingly pivotal role in modern transportation, cybersecurity threats targeting these systems have become a critical area of concern. This study systematically identifies and classifies vulnerabilities from the National Vulnerability Database (NVD) and the Automotive Attack Database (AAD) using a semi-automated filtering process. Our analysis identifies a total of 508 vulnerabilities across these databases, which are categorised based on ISO/SAE 21434 impact categories: safety, financial, operational, and privacy. A key finding reveals that 14.6\% of these vulnerabilities have systemic implications, meaning they have the potential to cause widespread disruption across multiple vehicles or the broader transportation network. Furthermore, 45\% of the vulnerabilities are associated with remote attack vectors, significantly increasing the risk of large-scale exploitation. This research contributes an updated database of automotive vulnerabilities, providing a valuable resource for the cybersecurity community. The findings highlight the need to enhance current automotive cybersecurity standards, such as ISO/SAE 21434, to address the complex inter-dependencies and systemic risks within connected vehicle ecosystems.
| Original language | English |
|---|---|
| Title of host publication | Cybersecurity and Human Capabilities Through Symbiotic Artificial Intelligence |
| Subtitle of host publication | Proceedings of the 16th International Conference on Global Security, Safety and Sustainability, London, November 2024 |
| Editors | Hamid Jahankhani, Biju Issac |
| Publisher | Springer |
| Pages | 227-247 |
| Number of pages | 21 |
| ISBN (Electronic) | 978-3-031-82031-1 |
| ISBN (Print) | 978-3-031-82030-4 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 16th International Conference on Global Security, Safety & Sustainability - Duration: 25 Nov 2024 → 27 Nov 2024 |
Publication series
| Name | Advanced Sciences and Technologies for Security Applications |
|---|---|
| Volume | Part F414 |
| ISSN (Print) | 1613-5113 |
| ISSN (Electronic) | 2363-9466 |
Conference
| Conference | 16th International Conference on Global Security, Safety & Sustainability |
|---|---|
| Abbreviated title | ICGS3-24 |
| Period | 25/11/24 → 27/11/24 |
Bibliographical note
This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.Funding
This work was supported by Coventry University and the A*STAR Research Attachment Programme (ARAP).
| Funders |
|---|
| Coventry University |
| The Agency for Science, Technology and Research of Singapore |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Automotive cybersecurity
- Connected vehicles
- National Vulnerability Database
- Vulnerability classification
- Vulnerability impact assessment
ASJC Scopus subject areas
- Computer Science(all)
Themes
- Security and Resilience
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