Cloud-Blockchain-Fusion–Based Secure Sharing Model for Air Traffic Management

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Cloud-Blockchain-Fusion–Based Secure Sharing Model for Air Traffic Management

Wang, Qing / Zhang, Lizhe / Lu, Xin

Data sharing is the keystone to maintain the continuous operation of air traffic management (ATM). As situational awareness and collaborative decision-making become significant components of smart ATM, data sharing capability becomes a constraint on the development of ATM. The existing ATM data-sharing solutions have the following issues: 1) data-sharing efficiency is low; 2) data security has not received sufficient attention; and 3) access control is difficult to implement. Therefore, a security data-sharing model for ATM based on cloud-blockchain fusion is proposed, which realizes data security storage, intelligent service governance, and data authorized access. Firstly, a set of metafile storage structures is defined to realize the separate storage of data and metadata, which provides integrity verification and encrypted storage. Besides, using attribute-based encryption and service retrieval algorithms, the data publishing, discovery, and invocation functions based on smart contracts are realized. Finally, this scheme realizes secure data sharing in the ATM environment, and the computational cost and time cost are also kept at an acceptable level compared with other existing schemes.