SCIENCE CHINA Information Sciences, Volume 63 , Issue 3 : 139105(2020) https://doi.org/10.1007/s11432-018-9525-y

Two-stage index-based central keyword-ranked searches over encrypted cloud data

Hong ZHONG 1,2,3, Zhanfei LI 1,2,3, Yan XU 1,2,3, Zhili CHEN 1,2,3, Jie CUI 1,2,3,*
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  • ReceivedMay 19, 2018
  • AcceptedJul 16, 2018
  • PublishedFeb 10, 2020


There is no abstract available for this article.


This work was supported by National Natural Science Foundation of China (Grant Nos. 61572001, 61872001, 61702005).


[1] Song D X, Wagner D, Perrig A. Practical techniques for searches on encrypted data. In: Proceedings of Security and Privacy, 2000. 44--55. Google Scholar

[2] Xia Z, Wang X, Sun X. A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data. IEEE Trans Parallel Distrib Syst, 2016, 27: 340-352 CrossRef Google Scholar

[3] Wang B, Song W, Lou W J, et al. Inverted index based multi-keyword public-key searchable encryption with strong privacy guarantee. In: Proceedings of International Conference on Computer Communications, 2015. 2092--2100. Google Scholar

[4] Fu Z, Wu X, Wang Q. Enabling Central Keyword-Based Semantic Extension Search Over Encrypted Outsourced Data. IEEE TransInformForensic Secur, 2017, 12: 2986-2997 CrossRef Google Scholar

[5] Chen J, He K, Deng L, et al. EliMFS: Achieving Efficient, Leakage-resilient, and Multi-keyword Fuzzy Search on Encrypted Cloud Data. IEEE Transactions on Services Computing, 2017. Google Scholar

[6] Cao N, Wang C, Li M, et al. Privacy-preserving multi-keyword ranked search over encrypted cloud data. In: Proceedings of International Conference on Computer Communications, 2011. 829--837. Google Scholar

  • Figure 1

    (Color online) (a) The system model of TCKSE; (b) the framework of TCKSE scheme; (c) comparison of related schemes; (d) search time VS the number of documents.