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Research on the Information Safety of CAN Bus for Vehicle

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Advances in Intelligent Automation and Soft Computing (IASC 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 80))

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Abstract

More and more ECUs have been installed in the vehicle along with the electrification and intellectualization, so it is crucial to investigate on the information safety of CAN bus. According to the public cases regarding the CAN bus, how to find the defects of network of vehicle efficiently is vital to prevent intrusion illegal and privacy leakage. In this study, the mechanism of CAN bus can be reviewed, and types of information invading of CAN bus are analyzed particularly. Then some measures to strengthen the safety of bus have been list. Considering the tremendous difficulty to eliminate intrusion, combined means should be adopted to cope with the rigorous challenges. In the future, the bus of vehicle can be reconstructed based on the characteristics from distribution to controller, and it is expected to be explored deeply in accordance with new framework of CAN bus.

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References

  1. Wen, X., Zhu, C.: The configuration of bit rate on the CAN bus. J. Mach. Build. Autom. 35(2), 113–114 (2006)

    Google Scholar 

  2. Zhuang, H.: The car body network design based on CAN/LIN bus. Hebei University of Technology, Tianjin (2014)

    Google Scholar 

  3. Wu, Z.: Design and optimization of automotive electronic and electrical architecture. J. Electron. Technol. Softw. Eng. 14, 252–253 (2017)

    Google Scholar 

  4. Qin, C.: Design and Implementation of the On-board Ethernet AVB Node. Jilin University, Jilin (2015)

    Google Scholar 

  5. Wu, X., Tang, M., Lu, Y.: Framework of AUV Guidance system based on TTCAN and NCS. J. Northwest. Polytech. Univ. 23(6), 750–753 (2005)

    Google Scholar 

  6. Wang, J., Xu, B., Wang, Q.: Analysis and measurement of network delay in CAN control system. J. Control Instrum. Chem. Ind. 33(5), 29–32 (2006)

    MathSciNet  Google Scholar 

  7. Wang, J., Xu, B.: Analysis and online evaluation of CAN message real-time performance. J. Control Design. 22(4), 448–452 (2007)

    Google Scholar 

  8. Gao, Y., Li, H., He, F., et al.: Optimization design of preemptive reconfiguration scheme in time-triggered Ethernet. J. Electron. Optics Control. 27(10), 88–93 (2010)

    Google Scholar 

  9. Wang, C.: Research on performance optimization and evaluation technology of time-triggered Ethernet for DIMA application. XIDIAN University, Xian (2019)

    Google Scholar 

  10. Liu, M.: Research on scheduling optimization mechanism and algorithm of multi-hop time-triggered Ethernet. Dalian University of Technology, Dalian (2019)

    Google Scholar 

  11. Shi, Z., Zhang, H., Wang, X.: Real-time Ethernet clock synchronization optimization algorithm based on improved Kalman filter. J. Zhejiang Sci-Tech Univ. 41(5), 650–656 (2019)

    Google Scholar 

  12. Schweppe, H., Roudier, Y.: Security and privacy for in-vehicle networks. In: IEEE International Workshop on Vehicular Communications. IEEE Press (2012)

    Google Scholar 

  13. Woo, S., Jo, H.J., Dong, H.L.: A practical wireless attack on the connected car and security protocol for in-vehicle CAN. IEEE Trans. Intell. Transp. Syst. 16(2), 1–14 (2014)

    Article  Google Scholar 

  14. Kang, M.J., Kang, J.W.: A novel intrusion detection method using deep neural network for in-vehicle network security. In: IEEE 83rd Vehicular Technology Conference, pp. 1–5, Nanjing (2016)

    Google Scholar 

  15. Yu, H., Qin, G., Sun, M.: Cyber security and anomaly detection method for in-vehicle CAN. J. Jilin Univ. (Eng. Technol. Edn.) 46(4), 1246–1253 (2016)

    Google Scholar 

  16. Wu, Y., Li, F., Qin, Z.: Research on vehicle ECU communication encryption and identity authentication mechanism. J. Huaihua Univ. 36(5), 75–77 (2017)

    Google Scholar 

  17. Bayer, S., Enderle, T., Oka, D.K.: Security crash test-practical security evaluations of automotive onboard IT components. Automotive-Safety & security (2015)

    Google Scholar 

  18. Nishimura, R., Kurachi, R., Ito, K.: Implementation of the CAN-FD protocol in the fuzzing tool beSTORM. In: IEEE International Conference on Vehicle Electronics and Safety, pp.1–6. IEEE (2016)

    Google Scholar 

  19. Han, W.: The trusted model and application of internet vehicle bus. East China Normal University, Shanghai (2016)

    Google Scholar 

  20. Yang, H.: Research on CAN bus attack and defense detection technology based on intelligent network of car. Tianjin University of Technology, Tianjin (2017)

    Google Scholar 

  21. Craig, S.: Car Hacker’s Handbook. No starch Press, San Francisco (2016)

    Google Scholar 

  22. He, Y., Liu, X., Ma, H.: Research on mimic defense system of internet of vehicles. J. Inf. Secur. Res. 6(3), 244–251 (2020)

    Google Scholar 

  23. Song, H., Yang, L., Xu, H.: Overview of the intelligent connected vehicles cyber security. J. Inf. Secur. Commun. Priv. 7, 106–114 (2020)

    Google Scholar 

  24. Wang, J.: Research on information security issues in automobile intelligent networking system. J. Auto Time. 2, 193–194 (2021)

    Google Scholar 

  25. Lu, P., Zou, B., Li, J.: A methodology for cyber security quantitative assessment of intelligent connected vehicles based on CRITIC and entropy method. J. Cyberspace Secur. 11(10), 98–103 (2020)

    Google Scholar 

  26. Liao, M., Liu, X., Ma, H.: Research on information security protective system of intelligent and connected vehicles. J. Comput. Era. 10, 19–23 (2019)

    Google Scholar 

  27. Guo, Z., Pan, J., Han, G.: Security onboard communication for in-vehicle bus on CAN bus. J. China Auto. 7, 650+57 (2020)

    Google Scholar 

  28. Zou, B., Zhu, K., Wang, H.: Information safety tests and analysis of intelligent connected vehicles. J. Intell. Connected Veh. 6, 56–58 (2020)

    Google Scholar 

  29. Wang, Z.: Multi-strategy protection information safety for intelligent connected vehicles. J. Shanghai Inf. 12, 28–32 (2020)

    Google Scholar 

  30. Huang, T.: Research and implementation of vulnerability mining technology for in-vehicle network based on fuzzing. University of Electronic Science and Technology of China, Chengdu (2018)

    Google Scholar 

  31. Yang, J.: The technical characteristics and application trend of CAN bus. J. Farm Mach. 03, 72–73 (2011)

    Google Scholar 

  32. Li, Z., Tan, K., Guan, D.: In vehicle CAN bus-off attack and its intrusion detection algorithm. J. Comput. Appl. 40, 3224–3228 (2020)

    Google Scholar 

  33. Zhang, Y.: In the age of internet of vehicles, preventing hackers from turning cars into big killers, a hacker who shocked the automobile industry “holding.” J. Green Living. 10, 34–37 (2015)

    Google Scholar 

  34. Li, X., Zhong, C., Chen, Y.: Survey of internet of vehicle security. J. Cyber Secur. 4(3), 17–33 (2019)

    Google Scholar 

  35. Xie, H., Mo, X., Wang, C.: Research on invehicle CAN network intrusion detection based on machine learning. J. Tianjin Univ. Technol. 36(2), 32–37 (2020)

    Google Scholar 

  36. Luo, C.: Research and implementation of defense technology for in-vehicle network of connected vehicle. University of Electronic Science and Technology of China, Chengdu (2020)

    Google Scholar 

  37. Ji, Y., Jiao, Z., Liu, S.: CAN bus flood attack detection based on communication characteristics. J. Chin. J. Netw. Inf. Secur. 6(1), 27–37 (2020)

    Google Scholar 

  38. Hoppe, T., Stefan, K., Jana, D.: Security threats to automotive CAN networks—Practical examples and selected short-term countermeasures. J. Reliab. Eng. Syst. Safety 96(1), 11–25 (2011)

    Article  Google Scholar 

  39. Taylor, A., Japkowicz, N., Leblanc, S.P.: Frequency-based anomaly detection for the automotive CAN bus. In: 2015 World Congress on Industrial Control Systems Security, pp. 4549 (2015)

    Google Scholar 

  40. Song, H.M., Kia, H.R., Kim, H.K.: Intrusion detection system based on the analysis of time intervals of CAN messages for in-vehicle network. In: 2016 International Conference on Information Networking, pp. 63–68 (2016)

    Google Scholar 

  41. Sun, Y., Wang, X., Liu, P.: Research on vehicle CAN bus authentication and encryption mechanism. J. Beijing Inf. Sci. Technol. Univ. 34(3), 73–78 (2019)

    Google Scholar 

  42. Xun, Y., Liu, J., Zhao, J.: Research on security threat of intelligent connected vehicle. J. Chin. J. Internet Things. 3(4), 72–81 (2019)

    Google Scholar 

  43. Chen, Y., Zhong, C., Li, X.: An adaptive security mechanism of CAN bus in vehicle. J. J. Inf. Secur. Res. 5(12), 1076–1088 (2019)

    Google Scholar 

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Acknowledgments

This paper was financially supported by the Open Fund for the State Key Laboratory of Vehicle NVH and Safety Technology (NVHSKL-202006).

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Authors and Affiliations

  1. State Key Laboratory of Vehicle NVH and Safety Technology, Chongqing, China

    Hongrong Wang & Guojun Huang

  2. College of Artificial Intelligence, Southwest University, Chongqing, 400715, China

    Guojun Huang

  3. College of Engineering and Technology, Southwest University, Chongqing, China

    Xincheng Liang

Authors
  1. Hongrong Wang
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  2. Guojun Huang
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  3. Xincheng Liang
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Corresponding author

Correspondence to Guojun Huang .

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Editors and Affiliations

  1. Electronics and Computer Engineering Technology, Indiana State University, Terre Haute, IN, USA

    Xiaolong Li

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Wang, H., Huang, G., Liang, X. (2022). Research on the Information Safety of CAN Bus for Vehicle. In: Li, X. (eds) Advances in Intelligent Automation and Soft Computing. IASC 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-81007-8_118

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