Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles

Understand

Connected autonomous vehicles (CAVs) are anticipated to have built-in AI systems for defending against cyberattacks.

• Machine learning (ML) models form the basis of many such AI systems.
• These models are notorious for acting like black boxes, transforming inputs into solutions with great accuracy, but no explanations support their decisions.
• Explanations are needed to communicate model performance, make decisions transparent, and establish trust in the models with stakeholders.