English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper presents a systematic literature review (SLR) on cybersecurity in the automotive industry. Using the R tool Bibliometrix, a total of 537 papers related to cybersecurity and the automotive industry were analyzed. First, our paper contributes to academia by showing that research on this topic is grouped into four clusters that correspond to four lines of research:  Automotive Security; Vehicle Engineering; Smart Vehicle; IT Security . Second, our paper contributes to the literature by highlighting the existing gaps. On the subject of standards and framework, there are gaps in terms of what the security requirements must be for the vehicle. This is very important since, given the heterogeneity of technology that vehicles from different manufacturers have, the cybersecurity requirements are different. Additionally, a gap can also be observed in the literature on the supply chain, which has a very small number of papers. In general, they do not cover or elaborate on the supply chain security, when, from a manufacturing point of view, it is very important to manage an effective cybersecurity strategy for the vehicles. Moreover, our paper also contributes to managers and policy-makers’ understanding of cybersecurity. We show that adequate implementation of cybersecurity in the automotive must involve a multidimensional perspective. First, it should be a  multistage model , ranging from the first stages of design in interconnection with the suppliers to the final stages of use by the customer. Second, it should be a  multi-level model , as a consequence of the interconnection of the vehicle’s control systems. Finally, the model should be  multi-feedback , structuring the process design as a feedback system, including incident response, diagnosis services and vehicle updates.

Cybersecurity in the Automotive Industry: A Systematic Literature Review (SLR)