Accessing the Knowledge Center effectively requires a simple, one-time registration.
Webinar: Data-Driven Configuration for Automotive IDS
Volkan Deveci
General Manager & Vice President Connected Vehicles
Joseph Antoon
Development Team Leader Connected Vehicles
Ioannis Deligiannis
Data Science Team Leader Connected Vehicles
As vehicles have become more interconnected and software-defined, attack surfaces have become bigger and more complex. In recent years, a range of vehicle intrusion techniques have jumped from theoretical concerns to real-world financial liabilities for OEMs. In this environment, intrusion detection systems (IDS) are an essential element of a secure automotive platform.
Data-driven models are an effective way to configure an IDS for a large variety of complex vehicle architectures. But the effectiveness of an IDS is disproportionately correlated to the quality of the data used to develop a model of vehicle network traffic. In this online webinar, we explore the unique challenges of data-driven IDS configuration and more about the present and future of automotive IDS. Watch this webinar and learn more about:
- Complex data ecosystems: Investigate the intricacies of handling vast amounts of data from a variety of sources
- Reducing false positives: Understanding the disproportionate cost of false positives anomaly alerts and how to prevent them
- Vehicle variants: building robust models that support multiple configurations
- The potential and drawbacks of intelligent systems in automotive IDS.
See Other Relevant Content from Knowledge Center
