Human Factors in the Cybersecurity of Autonomous Vehicles: Trends in Current Research

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F19%3AN0000045" target="_blank" >RIV/44994575:_____/19:N0000045 - isvavai.cz</a>
Result on the web
<a href="https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00995/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00995/full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fpsyg.2019.00995" target="_blank" >10.3389/fpsyg.2019.00995</a>

Result language
angličtina
Original language name
Human Factors in the Cybersecurity of Autonomous Vehicles: Trends in Current Research
Original language description
The cybersecurity of autonomous vehicles (AVs) is an important emerging area of research in traffic safety. Because human failure is the most common reason for a successful cyberattack, human-factor researchers and psychologists might improve AV cybersecurity by researching how to decrease the probability of a successful attack. We review some areas of research connected to the human factor in cybersecurity and find many potential issues. Psychologists might research the characteristics of people prone to cybersecurity failure, the types of scenarios they fail in and the factors that influence this failure or over-trust of AV. Human behavior during a cyberattack might be researched, as well as how to educate people about cybersecurity. Multitasking has an effect on the ability to defend against a cyberattack and research is needed to set the appropriate policy. Human-resource researchers might investigate the skills required for personnel working in AV cybersecurity and how to detect potential defectors early. The psychological profile of cyber attackers should be investigated to be able to set policies to decrease their motivation. Finally, the decrease of driver’s driving skills as a result of using AV and its connection to cybersecurity skills is also worth of research.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50101 - Psychology (including human - machine relations)

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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