Abstract
As an intensive and efficient way of cargo transportation, intermodal transport can take full advantage of various modes of transport through effective combinations. However, there is a problem of lacking effective data connection between collaborators leading to broken business processes, reduced collaborative efficiency, and hindering the development of the intermodal transport industry. In this paper, we propose a data exchange and sharing framework by integrating blockchain technology and edge computing technology to realize efficient, convenient, safe, and credible data exchange, which also conveniently connects different partners of various modes of transport and then promotes cross-sector and cross-system data exchange and sharing in the intermodal transport environment. Furthermore, the ecosystem of intermodal transport data exchange and sharing based on the proposed framework can effectively meet the requirements of scalability, security, believability, and privacy protection.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dua, A., Sinha, D.: Quality of multimodal freight transportation: a systematic literature review. World Rev. Intermodal Transp. Res. 8, 167–194 (2019). https://doi.org/10.1504/WRITR.2019.099136
Wenwen, J., Dongli, W., Cui, C.: Research on multimodal transport development in china under the background of internet plus. J. Phys. Conf. Ser. 1486 (2020). https://doi.org/10.1088/1742-6596/1486/2/022027
Su, Z., Wang, Y., Xu, Q., Zhang, N.: LVBS: lightweight vehicular blockchain for secure data sharing in disaster rescue. IEEE Trans. Dependable Secur. Comput. 19, 19–32 (2022). https://doi.org/10.1109/TDSC.2020.2980255
Tuchen, S.: Multimodal transportation operational scenario and conceptual data model for integration with UAM. In: Integrated Communications Navigation and Surveillance Conference, ICNS, vol. 2020-Septe (2020). https://doi.org/10.1109/ICNS50378.2020.9223002
Zhang, Z., Shao, S., Zhong, C., Sun, S., Lin, P.: Trusted identity authentication mechanism for power maintenance personnel based on blockchain. In: Liu, Q., Liu, X., Shen, T., Qiu, X. (eds.) CENet 2020. AISC, vol. 1274, pp. 883–889. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-8462-6_102
Yu, K., Tan, L., Aloqaily, M., Yang, H., Jararweh, Y.: Blockchain-enhanced data sharing with traceable and direct revocation in IIoT. IEEE Trans. Ind. Inform. 17, 7669–7678 (2021). https://doi.org/10.1109/TII.2021.3049141
Javaid, M., Haleem, A., Pratap Singh, R., Khan, S., Suman, R.: Blockchain technology applications for industry 4.0: a literature-based review. Blockchain Res. Appl. 2 (2021). https://doi.org/10.1016/j.bcra.2021.100027
Monrat, A.A., Schelén, O., Andersson, K.: A survey of blockchain from the perspectives of applications, challenges, and opportunities. IEEE Access 7, 117134–117151 (2019). https://doi.org/10.1109/ACCESS.2019.2936094
Cao, K., Liu, Y., Meng, G., Sun, Q.: An overview on edge computing research. IEEE Access 8, 85714–85728 (2020). https://doi.org/10.1109/ACCESS.2020.2991734
Hassan, N., Yau, K.L.A., Wu, C.: Edge computing in 5G: a review. IEEE Access 7, 127276–127289 (2019). https://doi.org/10.1109/ACCESS.2019.2938534
Luo, Q., Hu, S., Li, C., Li, G., Shi, W.: Resource scheduling in edge computing: a survey. IEEE Commun. Surv. Tutor. 23, 2131–2165 (2021). https://doi.org/10.1109/COMST.2021.3106401
Humayun, M., Jhanjhi, N., Hamid, B., Ahmed, G.: Emerging smart logistics and transportation using IoT and blockchain. IEEE Internet Things Mag. 3, 58–62 (2020). https://doi.org/10.1109/iotm.0001.1900097
Malik, V., et al.: Building a secure platform for digital governance interoperability and data exchange using blockchain and deep learning-based frameworks. IEEE Access (2023). https://doi.org/10.1109/ACCESS.2023.3293529
Klapita, V.: Implementation of electronic data interchange as a method of communication between customers and transport company. Transp. Res. Procedia 53, 174–179 (2021). https://doi.org/10.1016/j.trpro.2021.02.023
Sarabia-Jacome, D., Palau, C.E., Esteve, M., Boronat, F.: Seaport data space for improving logistic maritime operations. IEEE Access 8, 4372–4382 (2020). https://doi.org/10.1109/ACCESS.2019.2963283
Ullah, Z., Raza, B., Shah, H., Khan, S., Waheed, A.: Towards blockchain-based secure storage and trusted data sharing scheme for IoT environment. IEEE Access 10, 36978–36994 (2022). https://doi.org/10.1109/ACCESS.2022.3164081
Koscina, M., Manset, D., Negri, C., Kempner, O.P.: Enabling trust in healthcare data exchange with a federated blockchain-based architecture. In: Proceedings - 2019 IEEE/WIC/ACM International Conference on Web Intelligence Workshop, WI 2019 Companion, pp. 231–237 (2019). https://doi.org/10.1145/3358695.3360897
Al-Rakhami, M.S., Al-Mashari, M.: A blockchain-based trust model for the internet of things supply chain management. Sensors. 21, 1–15 (2021). https://doi.org/10.3390/s21051759
Abdellatif, A.A., et al.: MEdge-chain: leveraging edge computing and blockchain for efficient medical data exchange. IEEE Internet Things J. 8, 15762–15775 (2021). https://doi.org/10.1109/JIOT.2021.3052910
Akkaoui, R., Hei, X., Cheng, W.: EdgeMediChain: a hybrid edge blockchain-based framework for health data exchange. IEEE Access 8, 113467–113486 (2020). https://doi.org/10.1109/ACCESS.2020.3003575
Chen, J., Zhang, J., Pu, C., Wang, P., Wei, M., Hong, S.: Distributed logistics resources allocation with blockchain, smart contract, and edge computing. J. Circ. Syst. Comput. 32 (2023). https://doi.org/10.1142/S0218126623501219
Muhammad, S., Admodisastro, N., Osman, H., Ali, N.M.: The dynamic web services adaptation framework in context-aware mobile cloud learning using semantic-based method. Int. J. Eng. Adv. Technol. 9, 2353–2357 (2019). https://doi.org/10.35940/ijeat.A2652.109119
Chen, S., Xiao, L., Cheng, M.: A semantic-based multi-agent dynamic interaction model. In: ACM International Conference on Proceeding Series, pp. 101–108 (2020). https://doi.org/10.1145/3425329.3425332
Hong, Z., Guo, S., Zhou, E., Chen, W., Huang, H., Zomaya, A.: GriDB: scaling blockchain database via sharding and off-chain cross-shard mechanism. Proc. VLDB Endow. 16, 1685–1698 (2023). https://doi.org/10.14778/3587136.3587143
Weiqin, Z., et al.: Smart contract development: challenges and opportunities. IEEE Trans. Softw. Eng. (2019)
Zheng, Z., et al.: An overview on smart contracts: challenges, advances and platforms. Futur. Gener. Comput. Syst. 475–491 (2020)
Khan, S.N., Loukil, F., Ghedira-Guegan, C., Benkhelifa, E., Bani-Hani, A.: Blockchain smart contracts: applications, challenges, and future trends. Peer-to-Peer Netw. Appl. 14, 2901–2925 (2021). https://doi.org/10.1007/s12083-021-01127-0
Acknowledgments
This work was supported in part by the Shandong Provincial Natural Science Foundation under Grant ZR2022MF331, the National Natural Science Foundation of China under Grant 61833005, the Development Plan of Youth Innovation Team in Universities of Shandong Province, and the Linyi Institute of Commerce and Logistics Technology Industry under Grant CYY-TD-2022-003.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, L., Zhang, X., Xu, L., Fu, D., Qiu, J. (2024). Data Exchange and Sharing Framework for Intermodal Transport Based on Blockchain and Edge Computing. In: Sun, F., Li, J. (eds) Cognitive Computation and Systems. ICCCS 2023. Communications in Computer and Information Science, vol 2029. Springer, Singapore. https://doi.org/10.1007/978-981-97-0885-7_24
Download citation
DOI: https://doi.org/10.1007/978-981-97-0885-7_24
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-97-0884-0
Online ISBN: 978-981-97-0885-7
eBook Packages: Computer ScienceComputer Science (R0)