Abstract
With the development of railway transportation, it has put forward higher requirements for the safety of freight train. The present ground vehicle safety monitoring system, due to technical limitations, can’t meet the security requirement for real time information report of the train. Vehicular sensor can collect real-time vehicle information, to guarantee the safety of the train. Vehicle network is the basic of the communications between vehicular sensors. Because of the particularity of the freight train, a security vehicle network organization algorithm is proposed for the railway freight train based on lightweight authentication and property verification. Distance measured by distance sensor is the trigger event of the algorithm. The lightweight authentication makes the node trusted. Authenticating with speed and direction make the nodes belong to the same train. And ultimately vehicle network is established. Through the vehicle network, vehicle sensors collect data in real time and transmit to the ground processing system. Finally, ensure the safety of railway freight train.
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References
Sarkar, R., Pathak, S., Kela, D.H.: Root cause analysis of low impact toughness of cast steel yokes used in railway freight cars. J. Fail. Anal. Prev. 19(1), 76–84 (2019)
Abuobidalla, O., Chen, M., Chauhan, S.: A matheuristic method for planning railway freight transportation with hazardous materials. J. Rail Transp. Plan. Manag. 10, 46–61 (2019)
Ludicke, D., Lehner, A.: Train communication networks and prospects. IEEE Commun. Mag. 57(9), 39–43 (2019)
Ma, X.D., Li, H., Ma, J.F., et al.: Lightweight position awareness recommendation system privacy protection framework. Chin. J. Comput. 40(5), 1017–1030 (2017)
Xin, Y., Feng, X., Li, T.T.: Position-dependent lightweight Sybil attack detection method in VANET. J. Commun. 38(4), 110–119 (2017)
Wei, G.J., Qin, Y.L., Zhang, H.G.: ECC-based lightweight radio frequency identification security authentication protocol. J. Huazhong Univ. Sci. Technol. (Nat. Sci. Ed.) (1), 49–52 (2018)
Gope, P., Hwang, T.: A realistic lightweight authentication protocol preserving strong anonymity for securing RFID system. Comput. Secur. 55, 271–280 (2015)
Abdallah, A., Shen, X.S.: Lightweight authentication and privacy-preserving scheme for V2G connections. IEEE Trans. Veh. Technol. 66(3), 2615–2629 (2017)
Abbasinezhad-Mood, D., Nikooghadam, M.: Design and hardware implementation of a security-enhanced elliptic curve cryptography based lightweight authentication scheme for smart grid communications. Future Gener. Comput. Syst. 84, 47–57 (2018)
Arafin, M.T., Gao, M., Qu, G.: VOLtA: voltage over-scaling based lightweight authentication for IoT applications. In: 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 336–341. IEEE (2017)
Lai, C., Lu, R., Zheng, D., et al.: GLARM: group-based lightweight authentication scheme for resource-constrained machine to machine communications. Comput. Netw. 99, 66–81 (2016)
Reddy, A.G., Yoon, E.J., Das, A.K., et al.: Lightweight authentication with key-agreement protocol for mobile network environment using smart cards. IET Inf. Secur. 10(5), 272–282 (2016)
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Lv, C., Li, Y. (2020). A Security Vehicle Network Organization Method for Railway Freight Train Based on Lightweight Authentication and Property Verification. In: Tian, Y., Ma, T., Khan, M. (eds) Big Data and Security. ICBDS 2019. Communications in Computer and Information Science, vol 1210. Springer, Singapore. https://doi.org/10.1007/978-981-15-7530-3_12
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DOI: https://doi.org/10.1007/978-981-15-7530-3_12
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