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A Secure Sharing Framework Based on Cloud-Chain Fusion for SWIM

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Big Data Intelligence and Computing (DataCom 2022)

Abstract

The air traffic management (ATM) data sharing has attracted extensive attention as the key content of the collaborative operation in the next generation of aviation sector, and the corresponding secure issues and controls have become research hotspots. The SWIM concept aimed at enabling the secure sharing of data among ATM stakeholders was proposed. According to the SWIM regulation on efficient, reliable and secure data sharing, this paper intends to design a data sharing framework with security protections. By sorting out the characteristics and sharing requirements of ATM big data, it is found that the sharing framework based on distributed architecture has become the optimal choice for large-scale ATM systems. On the basis of cloud storage and blockchain, the concept of ATM data security sharing based on cloud-chain fusion is proposed, the feasibility of combining the two technologies is demonstrated, and the ATM data sharing cloud-chain fusion framework named CB-ATM is constructed. CB-ATM is built on the data publishing and discovery mechanism, operation record and traceability mechanism, and data security protection mechanism. Then, the security of this framework is demonstrated in accordance with ATM data secure sharing requirements. Finally, three future research directions for ATM data sharing are proposed. This paper provides a new idea for establishing an efficient, secure and reliable ATM data sharing architecture.

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Acknowledgment

This research was funded by Fundamental Research Funds for the Central Universities of China (No. 3122022081).

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Correspondence to Zhijun Wu .

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Wang, Q., Lu, X., Wu, Z. (2023). A Secure Sharing Framework Based on Cloud-Chain Fusion for SWIM. 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_9

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  • DOI: https://doi.org/10.1007/978-981-99-2233-8_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2232-1

  • Online ISBN: 978-981-99-2233-8

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