Abstract
This research paper delves into the field of autonomous vehicle technology,
examining the vulnerabilities inherent in each component of these
transformative vehicles. Autonomous vehicles (AVs) are revolutionizing
transportation by seamlessly integrating advanced functionalities such as
sensing, perception, planning, decision-making, and control. However, their
reliance on interconnected systems and external communication interfaces
renders them susceptible to cybersecurity threats.
This research endeavors to develop a comprehensive threat model for AV
systems, employing OWASP Threat Dragon and the STRIDE framework. This model
categorizes threats into Spoofing, Tampering, Repudiation, Information
Disclosure, Denial of Service (DoS), and Elevation of Privilege.
A systematic risk assessment is conducted to evaluate vulnerabilities across
various AV components, including perception modules, planning systems, control
units, and communication interfaces.
