Trust & Blame in Self-Driving Cars Following a Cyber Attack
02-11, 11:45–11:55 (UTC), Track 2 - Foxhunter

Even as our ability to counter cyber attacks improves, it is inevitable that threat actors may compromise a system through either exploited vulnerabilities and/or user error. It is therefore important to understand the factors which influence trust and blame in a self-driving car following a successful cyber attack.

One increasingly pertinent concern related to self-driving car technology (and its connected infrastructure) is the potential for it to be cyber attacked. Should (or when) an adverse experience occurs, such an event is likely to erode human trust in the technology and potentially inhibit its uptake. It is therefore important to understand who is blamed for the attack and how/when trust is affected so that appropriate cyber security measures can be implemented (pre and post attack) to mitigate its impact on users and other stakeholders.

Victoria is 2nd year PhD student based in the School of Psychology, Cardiff University and is part of the Doctoral Training Program (DTP) in Cyber Security Analytics. Her main research focus is on how self-driving cars would be blamed and trusted (or not) in the event of a cyber attack, and how the initial loss of trust in such technology could be countered by the human-machine interface (HMI).
Victoria studied Criminology as an undergraduate at the University of Lincoln and went on to complete her Masters in Criminology and Social Research – Cyber Crime and Cyber Security at the University of Surrey. Around her studies, Victoria supports a related research project and has represented this team at international conferences and workshops. Victoria is also an established Cyber Security and Information Assurance Consultant.