Abstract
With the continuous development of aviation business and informatization, the storage and sharing mechanism based on big data will play a more important role in the next generation Air Traffic Management (ATM) system. On the basis of analyzing the traditional aviation network, this paper proposes a new network structure for the storage and sharing of aviation big data to solve the transmission bottleneck, information security and other problems existing in the current network, and effectively ensure the safe and efficient operation of air traffic transportation. The structure is information-centric, with publish and subscribe as the main transmission paradigm, and includes multiple levels such as security, policy, data content and application. The main research contents of this paper are as follows. (i) Analyze the development trend of the new generation of ATM and the problems existing in the current aviation network, and in this context, propose the network structure for aviation big data. (ii) Design the policy layer of the new network structure, including content naming mode, routing mode and caching mode. (iii) Design the security layer of the new network structure, including data security, privacy protection and guarantee service, analyze the application of the new aviation network in specific aviation services.
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Acknowledgment
This research was funded by the joint funds of National Natural Science Foundation of China and Civil Aviation Administration of China (U1933108) and the National Natural Science Foundation of China (62172418), the Natural Science Foundation of Tianjin China (21JCZDJZ00830), the Fundamental Research Funds for the Central Universities of China (3122021026, ZXH2012P004), and the and the Open Fund of Key Laboratory of Civil Aircraft Airworthiness Technology (SH2021111907).
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Zhang, Y., Wang, Q., Li, J., Wu, Z. (2023). The Storage and Sharing of Big Data in Air Traffic Management System. In: Hsu, CH., Xu, M., Cao, H., Baghban, H., Shawkat Ali, A.B.M. (eds) Big Data Intelligence and Computing. DataCom 2022. Lecture Notes in Computer Science, vol 13864. Springer, Singapore. https://doi.org/10.1007/978-981-99-2233-8_16
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DOI: https://doi.org/10.1007/978-981-99-2233-8_16
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