A Hybrid Cryptographic Algorithm-based User Authentication and Secured Data Transmission in Blockchain-based Internet of Vehicles (BIOV) Environment

Authors

  • Girija. V Research Scholar, Dr. MGR Educational and Research Institute (Deemed to be University), Chennai-95, Tamil Nadu, India
  • Victo Sudha George G Computer Science and Engineering, Dr. MGR Educational and Research Institute (Deemed to be University), Chennai-95, Tamil Nadu, India

Keywords:

IoV, Blockchain, Two-Level Advanced Elliptic Curve Cryptosystems (2LAECC), Elliptic Curve Cryptosystems (ECC), Advanced Encryption Standard (AES)

Abstract

The emergence of Blockchain-based Internet of Vehicles (BIoV) is driven by disruptive technologies, vital for robust vehicular information systems. Disputes over data rights or security violations can disrupt transportation. Addressing BIoV's security, a new hybrid cryptographic authentication model is introduced, comprising four steps: data classification, encryption, blockchain-based transfer, and user authentication. Sensitive vehicle data is split and encrypted using Two-Level Advanced Elliptic Curve Cryptosystems (2LAECC). The private key is generated optimally via Enriched Bat Optimizer. Validated recipients receive information based on computed dual-trust scores. The model's security, encryption, and decryption are validated. This model fortifies BIoV's future through enhanced security, efficient encryption, and trusted data sharing.

Downloads

Download data is not yet available.

References

Sharma, V., 2018. An energy-efficient transaction model for the blockchain-enabled Internet of Vehicles (IoV). IEEE Communications Letters, 23(2), pp.246-249.

Zhao, Y., Wang, Y., Wang, P. and Yu, H., 2021. PBTM: A privacy-preserving announcement protocol with blockchain-based trust management for IoV. IEEE Systems Journal.

Campanile, L., Iacono, M., Marulli, F. and Mastroianni, M., 2021. Designing a GDPR-compliant blockchain-based IoV distributed information tracking system. Information Processing & Management, 58(3), p.102511.

Wang, X., Zeng, P., Patterson, N., Jiang, F. and Doss, R., 2019. An improved authentication scheme for the internet of vehicles based on blockchain technology. IEEE Access, 7, pp.45061-45072.

Cheng, L., Liu, J., Xu, G., Zhang, Z., Wang, H., Dai, H.N., Wu, Y. and Wang, W., 2019. SCTSC: A semi-centralized traffic signal control mode with attribute-based blockchain in IoVs. IEEE Transactions on Computational Social Systems, 6(6), pp.1373-1385.

Wang, Y., Tian, Y., Hei, X., Zhu, L. and Ji, W., 2021. A novel IoV block-streaming service awareness and trusted verification scheme in 6g. IEEE Transactions on Vehicular Technology, 70(6), pp.5197-5210.

Singh, P.K., Singh, R., Nandi, S.K., Ghafoor, K.Z., Rawat, D.B. and Nandi, S., 2020. Blockchain-based adaptive trust management in internet of vehicles using smart contract. IEEE Transactions on Intelligent Transportation Systems, 22(6), pp.3616-3630.

Elkhalil, A., Zhang, J. and Elhabob, R., 2021. An efficient heterogeneous blockchain-based online/offline signcryption systems for internet of vehicles. Cluster Computing, 24(3), pp.2051-2068.

Chen, C., Wu, J., Lin, H., Chen, W. and Zheng, Z., 2019. A secure and efficient blockchain-based data trading approach for internet of vehicles. IEEE Transactions on Vehicular Technology, 68(9), pp.9110-9121.

Xu, Z., Liang, W., Li, K.C., Xu, J. and Jin, H., 2021. A blockchain-based roadside unit-assisted authentication and key agreement protocol for internet of vehicles. Journal of Parallel and Distributed Computing, 149, pp.29-39.

Eddine, M.S., Ferrag, M.A., Friha, O. and Maglaras, L., 2021. EASBF: An efficient authentication scheme over blockchain for fog computing-enabled internet of vehicles. Journal of Information Security and Applications, 59, p.102802.

Ma, Z., Wang, L. and Zhao, W., 2020. Blockchain-driven trusted data sharing with privacy protection in IoT sensor network. IEEE Sensors Journal, 21(22), pp.25472-25479.

Gao, J., Agyekum, K.O.B.O., Sifah, E.B., Acheampong, K.N., Xia, Q., Du, X., Guizani, M. and Xia, H., 2019. A blockchain-SDN-enabled Internet of vehicles environment for fog computing and 5G networks. IEEE Internet of Things Journal, 7(5), pp.4278-4291.

Vangala, A., Bera, B., Saha, S., Das, A.K., Kumar, N. and Park, Y., 2020. Blockchain-enabled certificate-based authentication for vehicle accident detection and notification in intelligent transportation systems. IEEE Sensors Journal, 21(14), pp.15824-15838.

Lin, H., Garg, S., Hu, J., Kaddoum, G., Peng, M. and Hossain, M.S., 2020. Blockchain and deep reinforcement learning empowered spatial crowdsourcing in software-defined internet of vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(6), pp.3755-3764.

Kang, J., Xiong, Z., Niyato, D., Ye, D., Kim, D.I. and Zhao, J., 2019. Toward secure blockchain-enabled internet of vehicles: Optimizing consensus management using reputation and contract theory. IEEE Transactions on Vehicular Technology, 68(3), pp.2906-2920.

Cui, L., Chen, Z., Yang, S., Ming, Z., Li, Q., Zhou, Y., Chen, S. and Lu, Q., 2020. A blockchain-based containerized edge computing platform for the internet of vehicles. IEEE Internet of Things Journal, 8(4), pp.2395-2408.

Chai, H., Leng, S., Chen, Y. and Zhang, K., 2020. A hierarchical blockchain-enabled federated learning algorithm for knowledge sharing in internet of vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(7), pp.3975-3986.

Datset1, collected from “https://archive.ics.uci.edu/ml/datasets/Automobile “, 2022-08-30

Datset2, collected from “https://github.com/IhabMoha/datasets-for-VANET “, 2022-08-30

Datset3, collected from “https://github.com/IhabMoha/datasets-for-VANET “, 2022-08-30.

Downloads

Published

23.02.2024

How to Cite

V, G., & George G, V. S. . (2024). A Hybrid Cryptographic Algorithm-based User Authentication and Secured Data Transmission in Blockchain-based Internet of Vehicles (BIOV) Environment. International Journal of Intelligent Systems and Applications in Engineering, 12(16s), 77–84. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4785

Issue

Vol. 12 No. 16s (2024)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.