Fakultet informacionih tehnologija, Internacionalni univerzitet Travnik, Travnik, Bosnia and Herzegovina
The automotive industry represents an important segment of the overall industrial development in the world. In order to respond to the ever-increasing demands of customers, the automotive industry tries to keep up with the most modern technologies, and in recent times this primarily refers to information and communication technologies. Software-implemented functions in new vehicles are constantly increasing and are absolutely at the top of all innovations implemented in new vehicles. Thanks to artificial intelligence technologies, new concepts such as self-driving cars are being developed, as well as various driver monitoring systems, road condition monitoring systems, etc. There is an increasing number of artificial intelligence-based systems that enable new vehicles with different functions. The mentioned systems imply the use of a large number of networked IoT devices that exchange large amounts of data. By increasing the degree of networking and information exchange, the number of cyberattacks on vehicles also increases, which affects vehicle safety. Also, proportionally with the increase in the number of such systems, the need for designing security methods, mechanisms, architectures and protocols for detecting and mitigating attacks on car communication grows. This paper presents the challenges of cyber security in the application of artificial intelligence in the automotive industry.
Conceptualization, M.Ć.; Data curation, M.Ć.; Formal Analysis, M.Ć.; Funding acquisition, M.Ć.; Investigation, M.Ć.; Methodology, M.Ć.; Project administration, M.Ć.; Resources, M.Ć.; Software, M.Ć.; Supervision, M.Ć.; Validation, M.Ć.; Visualization, M.Ć.; Writing – original draft, M.Ć. All authors have read and agreed to the published version of the manuscript.
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