Open Access

ARTICLE

Paillier-Based Fuzzy Multi-Keyword Searchable Encryption Scheme with Order-Preserving

by Xiehua Li, Fang Li, Jie Jiang, Xiaoyu Mei

1 School of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China.
2 New Lynn School, Auckland, 0600, New Zealand.

* Corresponding Author: Xiehua Li. Email: .

Computers, Materials & Continua 2020, 65(2), 1707-1721. https://doi.org/10.32604/cmc.2020.011227

Received 27 April 2020; Accepted 29 June 2020; Issue published 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 preserving. Then, a queue-based query method is also applied in this scheme to break the linkability between the query keywords and search results and protect the access pattern. Our proposed scheme achieves fuzzy matching without expanding the index table or sacrificing computational efficiency. The theoretical analysis and experiment results show that our scheme is secure, accurate, error-tolerant and very efficient.

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Citations