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Part of the book series: Studies in Big Data ((SBD,volume 90))

Abstract

Autonomous vehicles have the potential to revolutionize the automotive industry and are gaining immense attention from academia as well as industry. However, facets of autonomous vehicle systems related to the interconnection of independent components pose vulnerabilities to the system. These vulnerabilities aren’t guaranteed to be solved by traditional security methods. Blockchain technology is a powerful tool that can aid in improving trust and reliability in such systems. This paper provides a survey on how blockchain can help improve not only security but also other aspects of the AV systems, focussing on the two major blockchain ecosystems as of this writing - Ethereum and Bitcoin. Our survey found that blockchain technology can assist in different use cases related to AVs, such as providing shared storage, enhancing security, optimizing vehicular functionalities, and enhancing related industries. This paper suggests directions for improvement in the sectors of Autonomous Vehicles (AV), which can be achieved with the incorporation of blockchain into Intelligent Transport Systems (ITS) or individual vehicular units.

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References

  1. Abubaker, Z., et al.: Decentralized mechanism for hiring the smart autonomous vehicles using blockchain. In: Barolli, L., Hellinckx, P., Enokido, T. (eds.) BWCCA 2019. LNNS, vol. 97, pp. 733–746. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-33506-9_67

    Chapter  Google Scholar 

  2. Pedrosa, A.R., Pau, G.: ChargeltUp: on blockchain-based technologies for autonomous vehicles. In: Proceedings of the 1st Workshop on Cryptocurrencies and Blockchains for Distributed Systems (CryBlock 2018). Association for Computing Machinery, New York, NY, USA, pp. 87–93 (2018)

    Google Scholar 

  3. Saini, A., Sharma, S., Jain, P., Sharma, V., Khandelwal, A.K.: A secure priority vehicle movement based on blockchain technology in connected vehicles. In: Proceedings of the 12th International Conference on Security of Information and Networks (SIN 2019). Association for Computing Machinery, New York, NY, USA, Article 17, pp. 1–8 (2019)

    Google Scholar 

  4. Berdigh., A., Yassini, K.E.: Connected car overview: solutions, challenges and opportunities. In: Proceedings of the 1st International Conference on Internet of Things and Machine Learning (IML 2017), pp. 1–7, Article 56. Association for Computing Machinery, New York, NY, USA (2017)

    Google Scholar 

  5. Leiding, B., Memarmoshrefi, P., Hogrefe, D.: Self-managed and blockchain-based vehicular ad-hoc networks. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (UbiComp 2016), pp. 137–140. Association for Computing Machinery, New York, NY, USA (2016)

    Google Scholar 

  6. Blockchain - Wikipedia: https://en.wikipedia.org/wiki/Blockchain. Accessed 04 Feb 2021

  7. Broggi, A., Zelinsky, A., Özgüner, Ü., Laugier, C.: Intelligent Vehicles. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, pp. 1627–1656. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-32552-1_62

    Chapter  Google Scholar 

  8. Correa, A., Boquet, G., Morell, A., Lopez Vicario, J.: Autonomous car parking system through a cooperative vehicular positioning network. Sensors 17(4), 848 (2017)

    Article  Google Scholar 

  9. Dogar, G., Javaid, N.: Blockchain Based Fleet Management System for Autonomous Vehicles in an Intelligent Transport System (2019)

    Google Scholar 

  10. Kohlbrenner, F., Nasirifard, P., Löbel, C., Jacobsen, H.-A.: A blockchain-based payment and validity check system for vehicle services. In: Proceedings of the 20th International Middleware Conference Demos and Posters (Middleware 2019), pp. 17–18. Association for Computing Machinery, New York, NY, USA (2019)

    Google Scholar 

  11. Geng, Y., Cassandras, C.G.: A new smart parking system infrastructure and implementation. Procedia Soc. Behav. Sci. 54, 1278–1287 (2012)

    Article  Google Scholar 

  12. Guerrero-Ibañez, J., Zeadally, S., Castillo, C., Juan. : Sensor Technologies for Intelligent Transportation Systems. Sensors. 18, 1212 (2018)

    Article  Google Scholar 

  13. Guo, H., Meamari, E., Shen, C.-C.: Blockchain-inspired Event Recording System for Autonomous Vehicles, pp. 218–222 (2018)

    Google Scholar 

  14. Improving Performance and Scalability of Blockchain Networks. https://www.wipro.com/blogs/hitarshi-buch/improving-performance-and-scalability-of-blockchain-networks/. Accessed 14 Feb 2021

  15. Jennath, H.S., Adarsh, S., Chandran, N., Ananthan, R., Sabir, A., Asharaf, S.: Parkchain: a blockchain powered parking solution for smart cities. Front. Blockchain 2, 6 (2019)

    Article  Google Scholar 

  16. Jolfaei, A., Kant, K.: Privacy and security of connected vehicles in intelligent transportation system. In: 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks–Supplemental Volume (DSN-S), pp. 9–10. IEEE, June 2019

    Google Scholar 

  17. Knirsch, F., Unterweger, A., Engel, D.: Privacy-preserving blockchain-based electric vehicle charging with dynamic tariff decisions. Computer Science - Research and Development (2017)

    Google Scholar 

  18. Stoykov, L., Zhang, K., Jacobsen, H.-A.: VIBES: fast blockchain simulations for large-scale peer-to-peer networks: demo. In Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference: Posters and Demos (Middleware 2017), pp. 19–20. Association for Computing Machinery, New York, NY, USA (2017)

    Google Scholar 

  19. Demir, M., Turetken, O., Ferworn, A.: Blockchain based transparent vehicle insurance management. In: 2019 Sixth International Conference on Software Defined Systems (SDS), Rome, Italy, pp. 213–220 (2019)

    Google Scholar 

  20. Singh, M., Kim, S.: Intelligent Vehicle-Trust Point: Reward based Intelligent Vehicle Communication using Blockchain, arXiv preprint arXiv:1707.07442 (2017)

  21. Merkle Tree. https://en.wikipedia.org/wiki/Merkle_tree. Accessed 14 Feb 2021

  22. Narbayeva, S., Bakibayev, T., Abeshev, K., Makarova, I., Shubenkova, K., Pashkevich, A.: Blockchain technology on the way of autonomous vehicles development. Transp. Res. Procedia. 44, 168–175 (2020)

    Article  Google Scholar 

  23. Meyer, O., Hesenius, M., Gries, S., Wessling, F., Gruhn, V.: A decentralized architecture and simple consensus algorithm for autonomous agents. In: Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings (ECSA 2018), p. 1–4. Association for Computing Machinery, New York, NY, USA (2018). Article 7

    Google Scholar 

  24. Sharma, P.K., Kumar, N., Park, J.H.: Blockchain-based distributed framework for automotive industry in a smart city. IEEE Trans. Industr. Inf. 15(7), 4197–4205 (2019)

    Article  Google Scholar 

  25. Rathee, G., et al.: A blockchain framework for securing connected and autonomous vehicles. Sensors 19(14), 3165 (2019)

    Article  Google Scholar 

  26. Thing, V.L., Wu, J.: Autonomous vehicle security: a taxonomy of attacks and defences. In: 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), pp. 164–170. IEEE, December 2016

    Google Scholar 

  27. Yebes, J.J., Bergasa, L.M., García-Garrido, M.: Visual object recognition with 3D-aware features in KITTI urban scenes. Sensors 15, 9228–9250 (2015)

    Article  Google Scholar 

  28. Zhao, H., Lu, L., Song, C., Wu, Y.: IPARK: location-aware-based intelligent parking guidance over infrastructureless VANETs. Int. J. Distrib. Sens. Netw. 8, 1–12 (2012)

    Google Scholar 

  29. Dot/NHTSA policy Statement Concerning Automated Vehicles (2016). https://www.nhtsa.gov/staticfiles/rulemaking/pdf/Autonomous-Vehicles-Policy-Update-2016.pdf. Accessed 14 Dec 2021

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Correspondence to Nidhee Kamble .

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Kamble, N., Gala, R., Vijayaraghavan, R., Shukla, E., Patel, D. (2021). Using Blockchain in Autonomous Vehicles. In: Maleh, Y., Baddi, Y., Alazab, M., Tawalbeh, L., Romdhani, I. (eds) Artificial Intelligence and Blockchain for Future Cybersecurity Applications. Studies in Big Data, vol 90. Springer, Cham. https://doi.org/10.1007/978-3-030-74575-2_15

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