Xor Filter-Based Keyword Search Scheme for Flight Operation Data Sharing

With the steady development of the aviation industry, civil aviation departments need to share flight operation data for facilitating business. However, during the data-sharing process, data searches are still at risk of privacy leakage. Therefore, how to effectively protect query privacy while improving data search efficiency has become a challenging problem that urgently needs to be addressed. To address this problem, we propose a blockchain-assisted keyword search scheme over flight operation data based on Xor filters. By integrating symmetric-key hidden vector encryption, Xor filters, and the circular shift and coalesce framework, the scheme supports efficient keyword searches while ensuring user query privacy. Additionally, the scheme employs off-chain data storage to alleviate blockchain storage pressure and securely stores encrypted keyword indexes on the blockchain ledger. Data users generate trapdoors and submit them to the blockchain for matching index keywords, ensuring the trustworthiness of search results. Finally, we conduct a formal security analysis and perform experiments, demonstrating the security and feasibility of our scheme.