Abstract
Digital forensics was primarily focused on analyzing mobile devices and hard drives. However, with the advent of smart cars, there is a growing interest in forensic analysis of vehicles. Smart cars are equipped with computer-like functions, allowing them to store and process information. One of the most important components for collecting user data in smart cars is the In-Vehicle-Infotainment (IVI) system. Despite ongoing research efforts, the forensic analysis of the IVI system remains insufficient and requires further exploration. To research an IVI system’s artifacts, you need a way to enter the IVI system. In this study, we researched common entry points into IVI systems and how to extract artifacts from them. We used various infotainment systems from different manufacturers for this study. Therefore, we can conclude that IVI systems have common entry points, and these extraction methods can be used across different systems.
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Acknowledgments
This work was supported by the National Research Foundation of Korean (NRF) grant funded by the Korean government (MSIT) (No. 2021R1A4A2001810) and This work was supported by Institute for Information & communications Technology Planning&Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2022-0-01197, Convergence security core talent training business (SoonChunHyangUniversity)).
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Ganbold, P., Oh, I., Kim, Y., Yim, K. (2023). Artifact Extraction Methods for In-Vehicle Infotainment System. In: Barolli, L. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 182. Springer, Cham. https://doi.org/10.1007/978-3-031-40971-4_7
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