NDLI: Privacy-Preserving Ranked Multi-keyword Fuzzy Search on Cloud Encrypted Data Supporting Range Query

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Privacy-Preserving Ranked Multi-keyword Fuzzy Search on Cloud Encrypted Data Supporting Range Query

Content Provider	Springer Nature Link
Author	Wang, Jie Yu, Xiao Zhao, Ming
Copyright Year	2015
Abstract	It is a desirable technique for cloud users to make the fullest use of cloud encrypted data by searching what they need through input keywords. Exact keyword search schemes over encrypted data have been well tackled for better retrieval efficiency and accuracy. However, existing researches on fuzzy keyword search are mainly based on single-input keyword, where multi-keyword fuzzy search remains to be unsolved, and keyword-based search application expansion, i.e., range query based on fuzzy search, has not yet proposed. In this paper, for the first time, we propose a novel ranked multi-keyword fuzzy search scheme supporting range query called RMFSSRQ by exploiting order-preserving encryption and locality-sensitive hashing. Our scheme achieves ranked fuzzy keyword matching by algorithmic design to support retrieval ranking of returned encrypted files. It can also conduct fuzzy search without pre-defined keyword dictionary restraints and eliminate increasing computation and search overheads of multi-keyword fuzzy search compared with traditional fuzzy keyword search schemes. As an expansion of our scheme’s application, range query can be achieved by building secure per file Bloom Filter (BF) index. So, the scheme can achieve ranked multi-keyword fuzzy search as well as range query on cloud encrypted data through two-layered BFs per document. Extensive security analysis and experimental results on real-world data set show that our proposed scheme can securely reach the design goals for keyword search on encrypted data. To the best of our knowledge, this is the first try to achieve ranking of retrieval results and range query based on fuzzy search over cloud encrypted data.
Starting Page	2375
Ending Page	2388
Page Count	14
File Format	PDF
ISSN	13198025
Journal	Arabian Journal for Science and Engineering
Volume Number	40
Issue Number	8
e-ISSN	21914281
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-06-25
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Searchable encryption Ranked multi-keyword fuzzy search Order-preserving encryption Ranking function Range query Engineering Science
Content Type	Text
Resource Type	Article

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