Automating vehicle cybersecurity fault classification with cyber-physical modeling
Automotive Intrusion Detection System (IDS) alerts are uniquely challenging to investigate. As vehicles age, IDS rules may be triggered by fluctuating sensor and actuator responses, unintended electrical events, diagnostic trouble codes, and repairs.
Manual analysis of cyber events caused by diagnostic faults can be resource-intensive, with Security Operation Center (SOC) managers having to hire highly skilled analysts, potentially leading to a significant cost increase.
In this free webinar, Garrett’s Joseph Antoon discusses the challenges of automotive cybersecurity fault classification and explains how to reduce the burden on SOC analysts.
Key topics and takeaways:
- Understand the challenges and techniques of fault analysis in automotive cybersecurity
- Learn how cyber-physical modeling can help distinguish faults from intrusions
- Find out how vehicle SOCs can incorporate fault analysis to better automate triage