Toward Efficient Multi-Keyword Fuzzy Search Over Encrypted Outsourced Data With Accuracy Improvement

By Zhangjie Fu, Xinle Wu, Chaowen Guan, Xingming Sun, Kui Ren. IEEE Transactions on Information Forensics and Security, 2016

536 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/d3ededf04419088a28708e537293c4b9a85bdbbe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. N. Xiong
2. Hongbo Li
3. Pan Yang
4. Qiong Huang
5. Jingli Ren

In Information Systems

1. N. Xiong
2. Hongbo Li
3. Pan Yang
4. Qiong Huang
5. Jingli Ren

Citations in the corpus

• An efficient public-key searchable encryption scheme secure against inside keyword guessing attacks (2017, background): “How to efficiently search over encrypted data thus becomes an important and interesting problem, and has attracted many researchers’ attention [7, 23, 42, 38, 31, 16, 34, 21, 17, 15, 32, 40].”
• Data Security and Privacy Protection for Cloud Storage: A Survey (2020, background): “In order to reduce the retrieval failure caused by misspelling, Fu et al. [33] improved multi-keyword searchable encryption by adding fuzz search functionality.”
• A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm (2017, background): “Fu et al. (2016) proposed an efficient multi-keyword fuzzy ranked search scheme that is able to address the aforementioned problems.”