Abstract
As the rapid growth of vehicle functions and safety technologies, the types of ECU (Electronic Control Unit) mounted inside the vehicle has increased, and accordingly, for the safety and security of CAN (Controller Area Network), a protocol to ensure the secure communication between ECUs is required. Due to the increasing need for research and analysis related to CAN protocol, various and accurate vehicle CAN data sets are required than ever before. In this paper, we propose more efficient and accurate data collection method for better analyze of CAN message, and based collected data, we have analyzed and made results using the amount of data, time intervals, and various characteristics from each method. The collected in-vehicle network datasets through this research are expected to be utilized for diverse security threat analysis.
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Acknowledgments
This work was supported by the National Research Foundation of Korean (NRF) grant funded by the Korea government (MSIT) (No. 2021R1A4A2001810). This work was supported by Institute for Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korean government (MSIT) (No. 2019-0-01343, Regional strategic industry convergence security core talent training business).
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Koh, Y., Kim, S., Kim, Y., Oh, I., Yim, K. (2022). Efficient CAN Dataset Collection Method for Accurate Security Threat Analysis on Vehicle Internal Network. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2022. Lecture Notes in Networks and Systems, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-031-08819-3_10
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DOI: https://doi.org/10.1007/978-3-031-08819-3_10
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