A Continuous Improvement Method for TARA Based on Cybersecurity Threat Intelligence
With the rapid development of automotive technology and the improvement of intelligence, the importance of automotive cybersecurity is increasingly prominent. TARA (Threat Analysis and Risk Assessment) has become a key means of ensuring automotive cybersecurity, which can effectively identify potential security threats and assess the risks they may bring, and then develop corresponding security measures. However, many companies often lack implementable methods for implementing continuous updates to TARA. This may result in outdated protective measures for enterprises when facing dynamically changing attack methods, making it difficult to respond promptly to emerging risks and challenges. This article provides a continuous improvement method for TARA based on threat intelligence. Threat intelligence can provide real-time attack trends and vulnerability information. By matching and integrating threat intelligence with TARA, continuous updates to risk assessment can be achieved, effectively enhancing the ability of automotive cybersecurity protection.
Authors
- Yanyan Han (ORCID: https://orcid.org/0000-0003-0147-0525)
- Xiyu Fang (ORCID: https://orcid.org/0009-0006-0308-7668)
- Xiong Zhao (ORCID: https://orcid.org/0009-0004-6759-9553)
- Ziyi Wang (ORCID: https://orcid.org/0009-0009-5428-0494)
Institutions
- China Automotive Technology and Research Center (CN)
Publication Details
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1109/citsc64390.2025.00192
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00