Securing Vehicle-to-Everything (V2X) Communication in Autonomous Vehicles using Blockchain Technology
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How to Cite

[1]
Dr. Marko Bohanec, “Securing Vehicle-to-Everything (V2X) Communication in Autonomous Vehicles using Blockchain Technology”, Journal of Bioinformatics and Artificial Intelligence, vol. 2, no. 2, pp. 43–60, Jun. 2024, Accessed: Nov. 21, 2024. [Online]. Available: https://biotechjournal.org/index.php/jbai/article/view/40

Abstract

Currently, the most common issue we face developing and implementing vehicle-to-everything (V2X) features is data security and trust between vehicles. As a vehicle trusts another vehicle through vehicle-to-everything (V2X) communication, a problem can occur when one vehicle tries to fool another vehicle for its own benefit. Equipping each vehicle with a synchronized blockchain serves to increase trust between vehicles. With time-related data sequencing, vehicle-to-everything (V2X) messages extend beyond removing the potential issues of communication delay to trust verification. Efficiency between security services advances forward in the presence of collaborative decision transfer, allowing TrustX to lessen the potential risk of a catastrophic service failure within a vehicle-to-everything (V2X) network.

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References

A. Dorri, S. S. Kanhere, R. Jurdak, and P. Gauravaram, "Blockchain for IoT security and privacy: The case study of a smart home," in 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Kona, HI, USA, 2017, pp. 618-623.

Y. Zhang, L. Ran, and X. Chen, "Secure and efficient data sharing for vehicular cloud using blockchain," in 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), Atlanta, GA, USA, 2017, pp. 1197-1204.

R. Zheng, Z. Xue, and H. Dai, "Blockchain challenges and opportunities: A survey," International Journal of Web and Grid Services, vol. 14, no. 4, pp. 352-375, 2018.

A. A. Khan, M. Salah, and M. Al Dyab, "Blockchain for 5G-enabled IoT," in 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Seoul, Korea (South), 2019, pp. 159-163.

L. Li, J. Li, X. Hu, Y. Zhang, and Z. Xu, "Blockchain-based secure firmware update for IoT devices in an electric vehicle environment," in 2018 IEEE 23rd Pacific Rim International Symposium on Dependable Computing (PRDC), Taipei, Taiwan, 2018, pp. 79-88.

M. Zhang, Y. Zheng, J. Li, J. Lloret, and N. Kumar, "A blockchain-based privacy-preserving access control framework for IoT," IEEE Internet of Things Journal, vol. 7, no. 3, pp. 1912-1925, 2020.

Z. Xia, X. Yao, X. Bi, and X. Wang, "MeDShare: Trust-less medical data sharing among cloud service providers via blockchain," in 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, USA, 2017, pp. 2610-2615.

A. Dorri, M. Steger, S. S. Kanhere, and R. Jurdak, "BlockChain: A Distributed Solution to Automotive Security and Privacy," IEEE Communications Magazine, vol. 55, no. 12, pp. 119-125, 2017.

A. Ouaddah, A. Abou Elkalam, and A. A. Ouahman, "Towards a novel privacy-preserving access control model based on blockchain technology in IoT," in 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), Valencia, Spain, 2017, pp. 1763-1768.

A. Z. Baig, S. U. Khan, and Z. Saleem, "Secure and privacy-preserving data communication in vehicular ad-hoc networks," in 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, 2016, pp. 1-6.

Tatineni, Sumanth. "Customer Authentication in Mobile Banking-MLOps Practices and AI-Driven Biometric Authentication Systems." Journal of Economics & Management Research. SRC/JESMR-266. DOI: doi. org/10.47363/JESMR/2022 (3) 201 (2022): 2-5.

Vemori, Vamsi. "Evolutionary Landscape of Battery Technology and its Impact on Smart Traffic Management Systems for Electric Vehicles in Urban Environments: A Critical Analysis." Advances in Deep Learning Techniques 1.1 (2021): 23-57.

Leeladhar Gudala, et al. “Leveraging Artificial Intelligence for Enhanced Threat Detection, Response, and Anomaly Identification in Resource-Constrained IoT Networks”. Distributed Learning and Broad Applications in Scientific Research, vol. 5, July 2019, pp. 23-54, https://dlabi.org/index.php/journal/article/view/4.

M. Y. Ahmed, S. U. Khan, A. Z. Baig, and I. Yaqoob, "A blockchain-based secure firmware update framework for IoT systems in smart cities," IEEE Transactions on Industrial Informatics, vol. 15, no. 5, pp. 2933-2940, 2019.

S. Y. Wang, Z. Chen, and C. Hu, "Towards secure vehicular communication via blockchain," in 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, USA, 2018, pp. 1-6.

C. E. Shannon, "Communication theory of secrecy systems," Bell System Technical Journal, vol. 28, no. 4, pp. 656-715, 1949.

H. Wang, K. Mase, J. Suzuki, K. Ueda, and M. Murata, "Privacy-preserving authentication and communication for vehicle-to-grid networks using blockchain," in 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), Kuala Lumpur, Malaysia, 2019, pp. 1-5.

A. Dorri, S. S. Kanhere, R. Jurdak, and P. Gauravaram, "Towards an optimized blockchain for IoT," in 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom), Athens, Greece, 2018, pp. 123-133.

K. Dinh, R. Liu, M. Zhang, G. Chen, B. C. Ooi, and J. Wang, "Untangling blockchain: A data processing view of blockchain systems," IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 7, pp. 1366-1385, 2018.

A. A. Khan, S. U. Khan, Z. Ahmed, S. A. Madani, and A. Zomaya, "Towards secure blockchain-enabled internet of vehicles," IEEE Network, vol. 33, no. 4, pp. 198-204, 2019.

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