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Verifiable Attribute-Based Keyword Search Over Encrypted Cloud Data Supporting Data Deduplication
IEEE Access ( IF 4.098 ) Pub Date : 2020-03-16 , DOI: 10.1109/access.2020.2980627
Xueyan Liu; Tingting Lu; Xiaomei He; Xiaotao Yang; Shufen Niu

Searchable encryption is a promising technique that allows cloud service provider return the interested files to the user, even if the shared files are encrypted. However, once encrypted data is uploaded to the cloud, the data owner loses the physical control of the data; the cloud service provider may face the problem of duplicate data occupying the storage space; how can the data user obtain the legal access rights? Therefore, data integrity detection, data deduplication and reasonable access authorization become the focus of attention. To address these problems, we propose a novel verifiable attribute-based keyword search over encrypted data supporting data deduplication. In the scheme, attribute-based encryption is introduced to achieve effective access authorization based on its one-to-many advantage, as well data confidentiality. A data label of each shared file is generated to finish data deduplication, while the third-party auditor and hash function are adopted to ensure data integrity, including ciphertext, plaintext and symmetric key. Moreover, in order to solve the problem of high computational load caused by attribute-based encryption, outsourcing decryption is used to optimize the scheme. The formal security analysis shows that our scheme can implement fine-grained authorization to search and realize indistinguishable keywords, unforgeability of signatures and confidentiality of ciphertexts. Meanwhile, the results of the experiment reveal that our scheme has a low band-width communication, storage and computability.
更新日期:2020-03-24

 

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