An Optimal Security Framework Based on Driver Authentication for Intelligent Transportation Systems

[1] Mecheva, T. & Kakanakov, N. (2020). Cybersecurity in Intelligent Transportation Systems. MDPI: Computers 9(4), 83. DOI: 10.20944/preprints202008.0082.v1. Open DOISearch in Google Scholar

[2] Hahn, D.A., Munir, A. & Behzadan, V. (2019). Security and Privacy issues in ITS: Classification and challenges. IEEE ITS Magazine 13(1), 181-196. DOI: 10.1109/MITS.2019.2898973. Open DOISearch in Google Scholar

[3] Baker, T., Asim, M., Samwini, H., Shamim, N., Alani, M. & Buyya, R. (2022). A blockchain-based Fog-oriented lightweight frame-work for smart public vehicular transportation systems. Computer Networks 2022, 20, 108676. DOI: 10.1016/j.comnet.2021.108676. Open DOISearch in Google Scholar

[4] Ying, Z., Cao, S., Liu, X., Ma, Z., Ma, J. & Deng, R. (2022). PrivacySignal: Privacy-Preserving Traffic Signal Control for Intelligent Transportation System. IEEE TITS, 1-14. DOI: 10.1109/TITS.2022.3149600. Open DOISearch in Google Scholar

[5] Tran, C., Tat, T., Tam, V. & Tran, D. (2022). Factors affecting intelligent transport systems towards a smart city: a critical review. T&F: Int. J. of Construction Management, 1-17. DOI: 10.1080/15623599.2022.2029680. Open DOISearch in Google Scholar

[6] Elahi, M., Rahman, M. & Islam, M.M. (2022). An efficient authentication scheme for secured service provisioning in edge-enabled vehicular cloud networks towards sustainable smart cities. Sustainable Cities and Society 76, 103384. DOI: 10.1016/j.scs.2021.103384. Open DOISearch in Google Scholar

[7] Abdulrahman, S. & Alhayani, B. (2021). A comprehensive survey on the biometric systems based on physiological and behavioural characteristics. In Proceedings of the Conference of Materials today. DOI: 10.1016/j.matpr.2021.07. Open DOISearch in Google Scholar

[8] Liu, S. & Silverman, M. (2001). A practical guide to biometric security technology. IEEE IT Professional Magazine 3(1), 27-32. DOI: 10.1109/6294.899930. Open DOISearch in Google Scholar

[9] Rettore, P., Campolina, A., Souza, A., Maia, G., Villas, L. & Loureiro. (2018). A. Driver Authentication in VANETs based on Intra-Vehicular Sensor Data. In Proceedings of the 2018 IEEE Symposium on Computers and Communications (ISCC), Natal, Brazil. DOI: 10.1109/ISCC.2018.8538506. Open DOISearch in Google Scholar

[10] Padmanabha, K., Basarkod, P. & Asuti, M. (2018). Automotive Electronic safety for Intelligent Transportation System. In Proceedings of the 2018 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). DOI: 10.1109/RTEICT42901.2018.9012644. Open DOISearch in Google Scholar

[11] Muhammad, M. & Safdar, G. (2018). Survey on existing authentication issues for cellular-assisted V2X communication. Vehicular Communications 12, 50-65. DOI: 10.1016/j.vehcom.2018.01.008. Open DOISearch in Google Scholar

[12] Diewald, S., Leinmuller, T., Atanassow, B., Breyer, L. & Kranz, M. (2012). Mobile Device Integration with V2X Communication. In the Proceedings of the 19th 2012 ITS World Congress, Vienna, Austria. Retrieved March, 2022, from https://trid.trb.org/view/1264269. Search in Google Scholar

[13] Husain, S., Kunz, A., Prasad, A., Pateromichelakis, E. & Samdanis, K. (2019). Ultra-High Reliable 5G V2X Communications. IEEE Communications Standards Magazine 3(2), 46 – 52. DOI: 10.1109/MCOMSTD.2019.1900008. Open DOISearch in Google Scholar

[14] Hasan, M., Mohan, S., Shimizu, T. & Lu, H. (2020). Securing Vehicle-to-Everything (V2X) Communication Platforms. IEEE Transactions on Intelligent Vehicles 5(4), 693 – 713. DOI: 10.1109/TIV.2020.2987430. Open DOISearch in Google Scholar

[15] Rogobete, M. & Marin, E. (2020). Improved authentication method in embedded networks systems. An autonomous vehicle approach. Scientific Bulletin of Naval Academy 23(1), 253-256. DOI: 10.21279/1454-864X-20-I1-035. Open DOISearch in Google Scholar

[16] Huang, J., Fang, D., Qian, Y. & Hu, R. (2020). Recent Advances and Challenges in Security and Privacy for V2X Communications. IEEE Open Journal of Vehicular Technology 1, 244-266. DOI: 10.1109/OJVT.2020.2999885. Open DOISearch in Google Scholar

[17] Ekanayake, L., Nawarathna, R., Gunathilake, P., Yapa, R. & Pinidiyaarachchi, A. (2019). Smart Protector: A Real-time Theft Prevention System for Transportation Management. In the Proceedings of the 2019 14th Conference on Industrial and Information Sys-tems (ICIIS), Kandy, Sri Lanka. DOI: 10.1109/ICIIS47346.2019.9063319. Open DOISearch in Google Scholar

[18] Pothirasan, N. & Rajasekaran, M. (2018). Retrofitting of Sensors in BLDC Motor Based e-Vehicle—A Step Towards Intelligent Trans-portation System. In Book series Smart Innovation, Systems and Technologies 105, 61-69. DOI: 10.1007/978-981-13-1927-3_7. Open DOISearch in Google Scholar

[19] Nafrees, A., Raseez, S., Ubeshanan, C., Achutharaj, K. & Hanees, A. (2021). Intelligent Transportation System using Smartphone. In the Proceedings of the 2021 5th International Conference on Electrical, Electronics, Communication, Computer Technolo-gies and Optimization Techniques (ICEECCOT), Mysuru, India DOI: 10.1109/ICEECCOT52851.2021.9708053. Open DOISearch in Google Scholar

[20] Ezzini, S., Berrada, I. & Ghogho, M. (2018). Who is behind the wheel? Driver identification and fingerprinting. Journal of Big Data 5(9). DOI: 10.1186/s40537-018-0118-7. Open DOISearch in Google Scholar

[21] Marchegiani, L. & Posner, I. (2018). Long-Term Driving Behaviour Modelling for Driver Identification. In the Proceedings of the 2018 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, HI, USA. DOI: 10.1109/ITSC.2018.8569610. Open DOISearch in Google Scholar

[22] Guerrero-Ibáñez, J., Zeadally, S. & Contreras-Castillo, J. (2018). Sensor Technologies for Intelligent Transportation Systems. Sensors 18(4), 1212. DOI: 10.3390/s18041212. Open DOISearch in Google Scholar

[23] Vasudev, H. & Das, D. (2019). Work-in-Progress: SAFE: Secure Authentication for Future Entities Using Internet of Vehicles. In the Proceedings of the 2019 IEEE Real-Time Systems Symposium (RTSS), Hong Kong, China. Retrieved February, 2022, from https://research.iitj.ac.in/publication/work-in-progress-safe-secure-authentication-for-future-entities Search in Google Scholar

[24] Yoo, J. & Yi, J. (2018). Code-Based Authentication Scheme for Lightweight Integrity Checking of Smart Vehicles. IEEE Access 6, 46731 – 46741. DOI: 10.1109/ACCESS.2018.2866626. Open DOISearch in Google Scholar

[25] Jiang, Q., Zhang, N., Ni, J., Ma, J., Ma, X. & Choo, K. (2020). Unified Biometric Privacy Preservation Three-Factor Authentication and Key Agreement for Cloud-Assisted Autonomous Vehicles. IEEE Transactions on Vehicular Technology 69(9), 9390 – 9401. DOI: 10.1109/TVT.2020.2971254. Open DOISearch in Google Scholar

[26] Hakeem, S., El-Gawad, M. & Kim, H. (2019). A Decentralized Lightweight Authentication and Privacy Protocol for Vehicular Net-works. IEEE Access 7, 119689 – 119705. DOI: 10.1109/ACCESS.2019.2937182. Open DOISearch in Google Scholar

[27] El Faouzi, N.E., Leung, H. & Kurian, A. (2011). Data fusion in intelligent transportation systems: Progress and challenges–A survey. Information Fusion 12(1), 4-10. DOI: 10.1016/j.inffus.2010.06.001. Open DOISearch in Google Scholar

[28] Raiffa, H. (2007). Negotiation analysis: The science and art of collaborative decision making. Harvard University Press. Retrieved May, 2022, from https://www.pon.harvard.edu/wp-content/uploads/images/posts/nas.pdf Search in Google Scholar