Abstract
With the increasing integration of electronics, software, and sensors, autonomous vehicles are becoming highly complex, distributed cyber-physical systems. Consequently, these systems are also getting increasingly vulnerable to various cyber-attacks. Nevertheless, – and despite its great need, – cybersecurity of automotive systems needs to be better understood, even by critical stakeholders. This paper addresses this problem through an immersive virtual environment for exploring security vulnerabilities in automotive systems. Our approach enables the use of VR technologies to provide a comprehensive environment for non-experts to perform hands-on exploration of security attacks and understand the implications of these attacks. We demonstrate our platform in exploring and training users in attacks on automotive ranging sensors.
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This project has been partially supported by the National Science Foundation under Grants CNS-1908549 and SATC-2221900.
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Owoputi, R., Kabir, M.R., Ray, S. (2024). \(\textsc {IVE}\): An Immersive Virtual Environment for Automotive Security Exploration. In: Bourguet, ML., Krüger, J.M., Pedrosa, D., Dengel, A., Peña-Rios, A., Richter, J. (eds) Immersive Learning Research Network. iLRN 2023. Communications in Computer and Information Science, vol 1904. Springer, Cham. https://doi.org/10.1007/978-3-031-47328-9_35
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DOI: https://doi.org/10.1007/978-3-031-47328-9_35
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