关键词: 云存储, 可搜索加密, 指定测试者, 细粒度验证, 动态更新

Abstract: Abstract: In response to the issue that the semi-trusted nature of cloud servers in searchable encryption may result in incorrect or incomplete search results, a fine-grained result verifiable searchable encryption scheme with designated tester was proposed. This scheme allows data users to query keywords on encrypted datasets to retrieve files, and combines verification mechanisms to ensure data privacy protection and reliability of search results in the cloud. By incorporating Merkle hash tree with Rank value and counting Bloom filter, the scheme can not only verify the correctness of the data set, but also fine-grained filter out the accurate results and give the number of qualified files that are not returned, ensuring the integrity of the data set. At the same time, dynamic updating of the scheme data set was implemented, and the semantic security against selected keyword attacks was proved under the random oracle model. Experimental simulation demonstrates that compared to traditional certificateless verifiable search encryption schemes, the proposed scheme exhibits lower computational overhead and higher execution efficiency in practical applications.

Key words: cloud storage, searchable encryption, designated tester, fine-grained validation, dynamic updating