A Quantitative Analysis of Autonomous Vehicle Cybersecurity as a Component of Trust

Author:

King Warren1,Halawi Leila2

Affiliation:

1. Capitol Technology University, USA

2. Embry Riddle Aeronautical University, USA

Abstract

<div>Connected autonomous vehicles that employ internet connectivity are technologically complex, which makes them vulnerable to cyberattacks. Many cybersecurity researchers, white hat hackers, and black hat hackers have discovered numerous exploitable vulnerabilities in connected vehicles. Several studies indicate consumers do not fully trust automated driving systems. This study expanded the technology acceptance model (TAM) to include cybersecurity and level of trust as determinants of technology acceptance. This study surveyed a diverse sample of 209 licensed US drivers over 18 years old. Results indicated that perceived ease of use positively influences perceived usefulness, perceived ease of usefulness negatively influences perceived cyber threats, and perceived cyber threats negatively influence the level of trust.</div>

Publisher

SAE International

Subject

Artificial Intelligence,Computer Science Applications,Automotive Engineering,Control and Systems Engineering,General Medicine

Reference71 articles.

1. Frost & Sullivan 2021 https://go.frost.com/EU_PR_Kmenzefricke_K24A_AutonomousDriving_Apr18

2. Statista Research Department 2019 https://www.statista.com/statistics/1068697/projected-robo-car-production/

3. Khan , W. , Khan , M.K. , Arshad , Q.-u.-A. , Malik , H. et al. Digital Labels: Influencing Consumers Trust and Raising Cybersecurity Awareness for Adopting Autonomous Vehicles Digest of Technical Papers – IEEE International Conference on Consumer Electronics 1 1 2021 1 4 https://doi.org/10.1109/ICCE50685.2021.9427684

4. U.S. DOT 2021 https://www.transportation.gov/av/avcp

5. NHTSA 2021 https://www.nhtsa.gov/technology-innovation/automated-vehicles-safety#topic-road-self-driving

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