| Title | SE-PPFM: A Searchable Encryption Scheme Supporting Privacy-Preserving Fuzzy Multikeyword in Cloud Systems |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Authors | Zhang, M., Chen, Y., Huang, J. |
| Journal | IEEE Systems Journal |
| Pagination | 1–9 |
| ISSN | 1937-9234 |
| Keywords | Asymmetric scalar-product-preserving encryp-tion (ASPE), cloud computing, composability, Correlation, Encryption, fuzzy search, Indexes, multikeyword, privacy protection, pubcrawl, Resiliency, Searchable encryption, Servers |
| Abstract | Cloud computing provides an appearing application for compelling vision in managing big-data files and responding queries over a distributed cloud platform. To overcome privacy revealing risks, sensitive documents and private data are usually stored in the clouds in a cipher-based manner. However, it is inefficient to search the data in traditional encryption systems. Searchable encryption is a useful cryptographic primitive to enable users to retrieve data in ciphertexts. However, the traditional searchable encryptions provide lower search efficiency and cannot carry out fuzzy multikeyword queries. To solve this issue, in this article, we propose a searchable encryption that supports privacy-preserving fuzzy multikeyword search (SE-PPFM) in cloud systems, which is built by asymmetric scalar-product-preserving encryptions and Hadamard product operations. In order to realize the functionality of efficient fuzzy searches, we employ Word2vec as the primitive of machine learning to obtain a fuzzy correlation score between encrypted data and queries predicates. We analyze and evaluate the performance in terms of token of multikeyword, retrieval and match time, file retrieval time and matching accuracy, etc. The experimental results show that our scheme can achieve a higher efficiency in fuzzy multikeyword ciphertext search and provide a higher accuracy in retrieving and matching procedure. |
| DOI | 10.1109/JSYST.2020.2997932 |
| Citation Key | zhang_se-ppfm_2020 |
SE-PPFM: A Searchable Encryption Scheme Supporting Privacy-Preserving Fuzzy Multikeyword in Cloud Systems