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Integrity-verifiable conjunctive keyword searchable encryption in cloud storage

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Abstract

Conjunctive searchable encryption is an efficient way to perform multi-keyword search over encrypted data in cloud storage. However, most existing methods do not take into account the integrity verification of the search result. Moreover, existing integrity verification methods can only verify the integrity of single-keyword search results, which cannot meet the requirements of conjunctive search. To address this problem, we proposed a conjunctive keyword searchable encryption scheme with an authentication mechanism that can efficiently verify the integrity of search results. The proposed scheme is based on the dynamic searchable symmetric encryption and adopts the Merkle tree and bilinear map accumulator to prove the correctness of set operations. It supports conjunctive keyword as input for conjunctive search and gives the server the ability to prove the integrity of the search result to the user. Formal proofs and extensive experiments show that the proposed scheme is efficient, unforgeable and adaptive secure against chosen-keyword attacks.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant Nos. 61772127, 61472184 and 61321491, the National Science and Technology Major Project under Grant No. 2013ZX03002006, the Liaoning Province Science and Technology Projects under Grant No. 2013217004, the Liaoning Province Doctor Startup Fund under Grant No. 20141012, the Fundamental Research Funds for the Central Universities under Grant No. N130317002, the Shenyang Province Science and Technology Projects under Grant No. F14-231-1-08.

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Authors and Affiliations

  1. Software College, Northeastern University, Shenyang, 110819, People’s Republic of China

    Yuxi Li, Fucai Zhou & Zifeng Xu

  2. Cyber Crime Investigation Department, National Police University of China, Shenyang, 110819, People’s Republic of China

    Yuhai Qin

  3. Information Security Institute, Beijing Electronic Science and Technology Institute, Beijing, 100070, People’s Republic of China

    Muqing Lin

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  1. Yuxi Li
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  2. Fucai Zhou
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Correspondence to Fucai Zhou.

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Li, Y., Zhou, F., Qin, Y. et al. Integrity-verifiable conjunctive keyword searchable encryption in cloud storage. Int. J. Inf. Secur. 17, 549–568 (2018). https://doi.org/10.1007/s10207-017-0394-9

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