Cyber Threat Intelligence Analysis for Situational Understanding in Autonomous Transport Systems

Autonomous transport systems promise to change how mobility is serviced, with potential ramifications in how cities and societies function. Among others, benefits include accident prevention and decreased carbon emissions. Like any other computer system, they face a plethora of security threats, both traditional and novel. In this work, we show how cyber threat intelligence analysis techniques can help understand and investigate—and potentially mitigate—security threats to autonomous transport systems. We exemplify the adoption of cyber threat intelligence analysis techniques and threat modelling in a concrete—albeit simple—case study. We finally discuss some implications involving cyber threat intelligence analysis techniques in autonomous transport systems and how proper uncertainty management is a powerful tool for preventing and mitigating many cyber threats affecting autonomous transport systems.