Xiehua Li1,*, Fang Li1, Jie Jiang1, Xiaoyu Mei2
CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1707-1721, 2020, DOI:10.32604/cmc.2020.011227
- 20 August 2020
Abstract Efficient multi-keyword fuzzy search over encrypted data is a desirable
technology for data outsourcing in cloud storage. However, the current searchable
encryption solutions still have deficiencies in search efficiency, accuracy and multiple
data owner support. In this paper, we propose an encrypted data searching scheme that
can support multiple keywords fuzzy search with order preserving (PMS). First, a new
spelling correction algorithm-(Possibility-Levenshtein based Spelling Correction) is
proposed to correct user input errors, so that fuzzy keywords input can be supported.
Second, Paillier encryption is introduced to calculate encrypted relevance score of
multiple keywords for order More >
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