Abstract
The automobiles are developing in the direction of intelligence and networking, which brings many safety and security challenges to the automotive cyber-physical systems (ACPS), the auto industry proposes to use multicore ECU with hardware security module (HSM) to protect in-vehicle networks while satisfying the timing constraint. However, this security strategy brings extra energy consumption. Energy and bandwidth are both highly significant optimization goals for ACPS, while current works mainly consider the energy consumption of the task level, and achieves optimization through task allocation and scheduling. Starting with CAN FD signal packing, this paper achieves the trade-off between energy consumption and bandwidth utilization by adjusting the number of tasks (signal instances) that HSM needs to perform security processing. We firstly established a relationship model between the processor’s frequency and message’s delay time, and then proposed an algorithm based on the dynamic voltage frequency scaling and security level clustering (LCA) to solve the trade-off problem. The experimental results show that compared with the state-of-the art algorithm, the LCA can decrease average bandwidth utilization by 80%, and reduce energy consumption by up to 47.4%.
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Acknowledgments
This work was supported by Natural Science Foundation of China (61872436), and partially supported by Natural Science Foundation of Jiangsu Province (BK20211272), the Research Foundation of NJUPT for “1311 Talents Training Project” and the NUPTSF (Grant No. NY220133).
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Guo, Y., Xie, Y. (2023). Balancing Bandwidth Utilization and Energy Consumption for Security-Related CAN FD-Based Automotive Cyber-Physical Systems. In: Dong, J., Zhang, L. (eds) Proceedings of the International Conference on Internet of Things, Communication and Intelligent Technology . IoTCIT 2022. Lecture Notes in Electrical Engineering, vol 1015. Springer, Singapore. https://doi.org/10.1007/978-981-99-0416-7_46
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DOI: https://doi.org/10.1007/978-981-99-0416-7_46
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