Human-Machine Collaboration in Cyber Incident Response for Autonomous Vehicles - A Case Study Approach: Investigates human-machine collaboration in cyber incident response for AVs through a series of case studies

Abstract

This paper examines the intricate relationship between humans and machines in responding to cyber incidents in the context of autonomous vehicles (AVs). As AVs rely heavily on software and connectivity, they face significant cybersecurity risks. Traditional cybersecurity approaches often fall short in addressing the dynamic and complex nature of cyber threats in AVs. Therefore, this paper proposes a human-machine collaboration framework for effective cyber incident response in AVs, leveraging the strengths of both humans and machines. Through a series of case studies, we demonstrate how this framework can enhance the resilience of AVs against cyber threats.