Prototyping Data-driven Cyber-Attack Detection Techniques in Autonomous Vehicle Cyber Physical Systems
PI Eyuphan Bulut, Ph.D.
This project creates a system to detect false information in communication between self-driving cars, and thus improving their safety.
They’re now aiming to create a prototype for real-world testing. Success will be measured by its effectiveness, integration ease, and user-friendliness, illustrating its potential for improving vehicle safety and intelligent transportation systems.
