FIELD

The present disclosure generally relates to the field of electronics. More particularly, an embodiment relates to a physics-based approach for attack detection and/or localization in closed-loop controls for autonomous vehicles.

BACKGROUND

Autonomous driving promises a world where a vehicle can transport its passengers from point A to point B with ultimate safety and with minimal human intervention.

However, in-vehicle control systems have been exposed to the outside world to enhance connectivity. As a result, there may be innumerable paths that an attacker could explore to reach safety-critical closed-loop control systems (such as adaptive cruise control, lane keep assist, etc.). For example, attackers may be able to not only initiate DoS (Denial-of-Service) attacks (e.g., by jamming control-related messages), but also to divert the system over a trajectory different than target (e.g., by spoofing steering control information).

As automotive systems evolve from driver-assisted to fully Automated Driving Systems (ADS), previously open-loop systems controlled by the driver will become closed under governance of additional distributed controllers (e.g., longitudinal and lateral control, emergency braking, etc.). Hence, securing closed-loop control systems has become critical for ensuring safety and security of autonomous vehicles.

