Cybersecurity and the adoption of self-driving cars

Abstract

This dissertation investigates the impact of cybersecurity concerns on adopting autonomous vehicles (AVs). As AV technology becomes increasingly prevalent in modern transportation systems, it faces potential cybersecurity threats such as data breaches, remote hijacking, and unauthorized data access. While these issues pose challenges, they are not inevitable barriers to consumer acceptance and widespread adoption. This study employs a mixed-methods approach, combining quantitative data from consumer surveys of a sample of 239 respondents with qualitative insights from 12 expert interviews from the automotive and cybersecurity sectors to assess public perceptions and the effectiveness of current cybersecurity measures. The results show that most consumers do not unthinkingly oppose the adoption of AVs despite the significant cybersecurity risks as long as robust cybersecurity protections are implemented. The research underscores the importance of transparent communication and the development of comprehensive regulatory frameworks to build and sustain public trust. Proactive cybersecurity strategies, continuous technological updates, and solid regulatory oversight can effectively mitigate risks and encourage the adoption of AV technologies. This study offers insights into the dynamic interplay between technology adoption, public perception, and cybersecurity, providing strategic guidance for policymakers and industry stakeholders to navigate these challenges.

Date of Award	14 Oct 2024
Original language	English
Awarding Institution	Universidade Católica Portuguesa
Supervisor	Damien Forterre (Supervisor) & Peter V. Rajsingh (Co-Supervisor)