Research on Cybersecurity of Ethernet for ICV
This paper mainly focuses on the information security threats faced by automotive ethernet, and constructs a framework based on threat analysis and risk assessment, aiming at identifying, assessing and mitigating the impact of these threats on automotive network security. The framework based on threat analysis and risk assessment can effectively improve the information security level of automotive ethernet, which has important theoretical and practical significance for automotive network security management. Through the experiment of attack recognition rate, the research technique achieves 90%, 85% and 95% high recognition rate under replay attack, fuzzy attack and DoS(Denial of service) attack respectively. It can be seen from the data conclusion that the framework based on threat analysis and risk assessment has high effectiveness and practicability in ethernet information security protection.
Authors
- Haijun Wang (ORCID: https://orcid.org/0009-0009-5774-9980)
- Wenbo Jia (ORCID: https://orcid.org/0000-0002-1291-3478)
- Meng Han (ORCID: https://orcid.org/0000-0002-2445-7369)
- Yu‐Wei Su (ORCID: https://orcid.org/0000-0003-1303-7032)
- Xu Liu
- Jing Liu (ORCID: https://orcid.org/0000-0002-3913-3957)
- Wenxia Ji
- Xingpei Bian
Institutions
- Intelligent Health (United Kingdom) (GB)
Publication Details
- Published
- 2025-07-18
- DOI
- https://doi.org/10.1109/ecnct66493.2025.11172408
- Primary Topic
- Smart Grid Security and Resilience
- Type
- article
- Field-Weighted Citation Impact
- 0.00