33
Views
2
CrossRef citations to date
0
Altmetric
Research Articles

QoS-Based Secure Data Communication for Software-Defined Autonomous Vehicles Using Blockchain

ORCID Icon & ORCID Icon

References

  • Bansal, N., Bali, R. S., Jakhar, K., Obaidat, M. S., Kumar, N., Tanwark, S., & Rodrigues, J. J. (2021). HTFM: Hybrid traffic-flow forecasting model for intelligent vehicular ad hoc networks. In ICC 2021-IEEE International Conference on Communications (pp. 1–6). IEEE.
  • Bansal, N., Mittal, S., Bali, R. S., Kumar, N., Rodrigues, J., & Zhao, L. (2023). Federated learning based task orchestration scheme using intelligent vehicular edge networks. In ICC 2023-IEEE International Conference on Communications (pp. 416–421). IEEE.
  • Bathla, G., Bhadane, K., Singh, R. K., Kumar, R., Aluvalu, R., Krishnamurthi, R., Kumar, A., Thakur, R., & Basheer, S. (2022). Autonomous vehicles and intelligent automation: Applications, challenges, and opportunities. Mobile Information Systems, 2022, 1–36. https://doi.org/10.1155/2022/7632892
  • Chen, J., Li, K., & Philip, S. Y. (2022). Privacy-preserving deep learning model for decentralized vanets using fully homomorphic encryption and blockchain. IEEE Transactions on Intelligent Transportation Systems, 23(8), 11633–11642. https://doi.org/10.1109/TITS.2021.3105682
  • Diallo, E.-h., Dib, O., & Al Agha, K. (2022). A scalable blockchain-based scheme for traffic-related data sharing in vanets. Blockchain: Research and Applications, 3(3), 100087.
  • Dwivedi, S. K., Amin, R., Vollala, S., & Chaudhry, R. (2020). Blockchain-based secured event-information sharing protocol in internet of vehicles for smart cities. Computers & Electrical Engineering, 86, 106719. https://doi.org/10.1016/j.compeleceng.2020.106719
  • Gao, J., Agyekum, K. O.-B. O., Sifah, E. B., Acheampong, K. N., Xia, Q., Du, X., Guizani, M., & Xia, H. (2020). A blockchain-SDN-enabled internet of vehicles environment for fog computing and 5G networks. IEEE Internet of Things Journal, 7(5), 4278–4291. https://doi.org/10.1109/JIOT.2019.2956241
  • Garg, D., Garg, N., Bali, R. S., & Rawat, S. (2022). SDVN-based smart data dissemination model for high-speed road networks. In Software defined internet of everything (pp. 259–270).
  • Garg, D., Kaur, A., Benslimane, A., Bali, R. S., Kumar, N., Tanwar, S., Rodrigues, J. J., & Obaidat, M. S. (2021). TruClu: Trust based clustering mechanism in software defined vehicular networks [Paper presentation]. 2021 IEEE Global Communications Conference (GLOBECOM) (pp. 1–6). IEEE.
  • Hataba, M., Sherif, A., Mahmoud, M., Abdallah, M., & Alasmary, W. (2022). Security and privacy issues in autonomous vehicles: A layer-based survey. IEEE Open Journal of the Communications Society, 3, 811–829. https://doi.org/10.1109/OJCOMS.2022.3169500
  • Javaid, U., Aman, M. N., & Sikdar, B. (2019). DrivMan: Driving trust management and data sharing in vanets with blockchain and smart contracts. In 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) (pp. 1–5). IEEE. https://doi.org/10.1109/VTCSpring.2019.8746499
  • Khalid, A., Iftikhar, M. S., Almogren, A., Khalid, R., Afzal, M. K., & Javaid, N. (2021). A blockchain based incentive provisioning scheme for traffic event validation and information storage in vanets. Information Processing & Management, 58(2), 102464. https://doi.org/10.1016/j.ipm.2020.102464
  • Khayyam, H., Javadi, B., Jalili, M., & Jazar, R. N. (2020). Artificial intelligence and internet of things for autonomous vehicles. In Nonlinear approaches in engineering applications: Automotive Applications of engineering problems (pp. 39–68). Springer. https://doi.org/10.1007/978-3-030-18963-1_2
  • Li, W., Su, Z., Li, R., Zhang, K., & Wang, Y. (2020). Blockchain-based data security for artificial intelligence applications in 6G networks. IEEE Network, 34(6), 31–37. https://doi.org/10.1109/MNET.021.1900629
  • Ma, Y., Wang, Z., Yang, H., & Yang, L. (2020). Artificial intelligence applications in the development of autonomous vehicles: A survey. IEEE/CAA Journal of Automatica Sinica, 7(2), 315–329. https://doi.org/10.1109/JAS.2020.1003021
  • Madhav, A. S., & Tyagi, A. K. (2022). Explainable artificial intelligence (XAI): Connecting artificial decision-making and human trust in autonomous vehicles. In Proceedings of Third International Conference on Computing, Communications, and Cyber-Security: IC4S 2021 (pp. 123–136). Springer.
  • Mittal, S., Garg, D., Bali, R. S., & Aujla, G. S. (2022). Edge computing based resource supplementation for software defined vehicular networks. In 2022 IEEE Globecom Workshops (GC Wkshps) (pp. 1693–1698). IEEE. https://doi.org/10.1109/GCWkshps56602.2022.10008581
  • Nascimento, A. M., Vismari, L. F., Molina, C. B. S. T., Cugnasca, P. S., Camargo, J. B., de Almeida, J. R., Inam, R., Fersman, E., Marquezini, M. V., & Hata, A. Y. (2020). A systematic literature review about the impact of artificial intelligence on autonomous vehicle safety. IEEE Transactions on Intelligent Transportation Systems, 21(12), 4928–4946. https://doi.org/10.1109/TITS.2019.2949915
  • Shadrin, S. S., Varlamov, O. O., & Ivanov, A. M. (2017). Experimental autonomous road vehicle with logical artificial intelligence. Journal of Advanced Transportation, 2017, 1–10. https://doi.org/10.1155/2017/2492765
  • Sharma, A., Garg, D., Mittal, S., & Bali, R. S. (2023). Software defined virtual clustering-based content distribution mechanism in VNDN. In: Ahad, M.A., Casalino, G., Bhushan, B. (eds). Enabling technologies for effective planning and management in sustainable smart cities (pp. 367–387). Springer. https://doi.org/10.1007/978-3-031-22922-0_15
  • Sharma, P. K., Kumar, N., & Park, J. H. (2019). Blockchain-based distributed framework for automotive industry in a smart city. IEEE Transactions on Industrial Informatics, 15(7), 4197–4205. https://doi.org/10.1109/TII.2018.2887101
  • Sharma, P., Siddanagaiah, U., & Kul, G. (2020). Towards an ai-based after-collision forensic analysis protocol for autonomous vehicles. In 2020 IEEE Security and Privacy Workshops (SPW) (pp. 240–243). IEEE. https://doi.org/10.1109/SPW50608.2020.00055
  • Tong, W., Hussain, A., Bo, W. X., & Maharjan, S. (2019). Artificial intelligence for vehicle-to-everything: A survey. IEEE Access, 7, 10823–10843. https://doi.org/10.1109/ACCESS.2019.2891073
  • Tsiktsiris, D., Vafeiadis, A., Lalas, A., Dasygenis, M., Votis, K., & Tzovaras, D. (2022). A novel image and audio-based artificial intelligence service for security applications in autonomous vehicles. Transportation Research Procedia, 62, 294–301. https://doi.org/10.1016/j.trpro.2022.02.037
  • Umbrello, S., & Yampolskiy, R. V. (2022). Designing AI for explainability and verifiability: A value sensitive design approach to avoid artificial stupidity in autonomous vehicles. International Journal of Social Robotics, 14(2), 313–322. https://doi.org/10.1007/s12369-021-00790-w
  • Xie, L., Ding, Y., Yang, H., & Wang, X. (2019). Blockchain-based secure and trustworthy internet of things in SDN-enabled 5G-VANETs. IEEE Access, 7, 56656–56666. https://doi.org/10.1109/ACCESS.2019.2913682
  • Yeh, L.-Y., Shen, N.-X., & Hwang, R.-H. (2022). Blockchain-based privacy-preserving and sustainable data query service over 5G-VANETs. IEEE Transactions on Intelligent Transportation Systems, 23(9), 15909–15921. https://doi.org/10.1109/TITS.2022.3146322
  • Zheng, D., Jing, C., Guo, R., Gao, S., & Wang, L. (2019). A traceable blockchain-based access authentication system with privacy preservation in vanets. IEEE Access, 7, 117716–117726. https://doi.org/10.1109/ACCESS.2019.2936575

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.