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Webinar: Automating Fault Classification with Cyber-Physical Modeling
Joseph Antoon
Development Team Leader Connected Vehicles
Automotive Intrusion Detection System (IDS) alerts are uniquely difficult to investigate. As vehicles age, IDS rules may be triggered by fluctuating sensor and actuator responses, unintended electrical events, Diagnostic Trouble Codes (DTCs), repairs, and more. To properly analyze cyber events caused by diagnostic faults, Security Operation Center (SOC) managers must hire more and higher-skilled analysts, which could increase costs.
What are the skills needed to tell a fault from a hack? How can a Security Operation Center (SOC) analyst find a true security event amongst a sea of anomalies triggered by diagnostic faults? And what special tools can be built into a SOC to reduce the burden on SOC analysts?
In this webinar, we will explore:
- The challenges and techniques of fault analysis in automotive cyber security
- How cyber-physical modeling can help distinguish faults from intrusions
- How vehicle SOCs can incorporate fault analysis to better automate triage
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