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Fuzzy Searching Encryption with Complex Wild-Cards Queries on Encrypted Database

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Web and Big Data (APWeb-WAIM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10988))

Abstract

Achieving fuzzy searching encryption (FSE) can greatly enrich the basic function over cipher-texts, especially on encrypted database (like CryptDB). However, most proposed schemes base on centralized inverted indexes which cannot handle complicated queries with wild-cards. In this paper, we present a well-designed FSE schema through Locality-Sensitive-Hashing and Bloom-Filter algorithms to generate two types of auxiliary columns respectively. Furthermore, an adaptive rewriting method is described to satisfy queries with wild-cards, such as percent and underscore. Besides, security enhanced improvements are provided to avoid extra messages leakage. The extensive experiments show effectiveness and feasibility of our work.

Supported by the National Key Research and Development Program of China (No. 2016YFB1000905), NSFC (Nos. 61772327, 61532021, U1501252, U1401256 and 61402180), Project of Shanghai Science and Technology Committee Grant (No. 15110500700).

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Authors and Affiliations

  1. School of Data Science and Engineering, East China Normal University, Shanghai, China

    He Chen & Cheqing Jin

  2. College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China

    Xiuxia Tian

Authors
  1. He Chen
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  2. Xiuxia Tian
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  3. Cheqing Jin
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Correspondence to Xiuxia Tian .

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Editors and Affiliations

  1. South China University of Technology, Guangzhou, China

    Yi Cai

  2. Nagoya University, Nagoya, Japan

    Yoshiharu Ishikawa

  3. Hong Kong Baptist University, Kowloon Tong, Hong Kong, China

    Jianliang Xu

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Chen, H., Tian, X., Jin, C. (2018). Fuzzy Searching Encryption with Complex Wild-Cards Queries on Encrypted Database. In: Cai, Y., Ishikawa, Y., Xu, J. (eds) Web and Big Data. APWeb-WAIM 2018. Lecture Notes in Computer Science(), vol 10988. Springer, Cham. https://doi.org/10.1007/978-3-319-96893-3_1

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  • DOI: https://doi.org/10.1007/978-3-319-96893-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96892-6

  • Online ISBN: 978-3-319-96893-3

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