  Autonomous and connected vehicles are rapidly evolving, integrating numerous
technologies and software. This progress, however, has made them appealing
targets for cybersecurity attacks. As the risk of cyber threats escalates with
this advancement, the focus is shifting from solely preventing these attacks to
also mitigating their impact. Current solutions rely on vehicle security
operation centers, where attack information is analyzed before deciding on a
response strategy. However, this process can be time-consuming and faces
scalability challenges, along with other issues stemming from vehicle
connectivity. This paper proposes a dynamic intrusion response system
integrated within the vehicle. This system enables the vehicle to respond to a
variety of incidents almost instantly, thereby reducing the need for
interaction with the vehicle security operation center. The system offers a
comprehensive list of potential responses, a methodology for response
evaluation, and various response selection methods. The proposed solution was
implemented on an embedded platform. Two distinct cyberattack use cases served
as the basis for evaluating the system. The evaluation highlights the system's
adaptability, its ability to respond swiftly, its minimal memory footprint, and
its capacity for dynamic system parameter adjustments. The proposed solution
underscores the necessity and feasibility of incorporating dynamic response
mechanisms in smart vehicles. This is a crucial factor in ensuring the safety
and resilience of future smart mobility.
