Privacy-preserving multi-keyword fuzzy search over encrypted data in the cloud

By Bing Wang, Shucheng Yu, Wenjing Lou, Thomas Hou. IEEE Conference on Computer Communications, 2014

393 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/bbae51778ba70e4e05ea301184b16cb8b488216f

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. Qinbin Li
2. Bingsheng He
3. Zeyi Wen
4. Nan Zhang
5. Lanxiang Chen
6. Chin-chen Chang
7. Kim-Kwang Raymond Choo
8. Wai-Kong Lee

In Computer Vision and Pattern Recognition

1. Bingsheng He
2. Chin-chen Chang
3. Kim-Kwang Raymond Choo
4. Zeyi Wen
5. Qinbin Li

Citations in the corpus

• Blockchain based searchable encryption for electronic health record sharing (2019, methodology): “Such schemes include multi-keyword SSE schemes [4-7], dynamic SSE schemes [8-11] and verifiable SSE schemes [12-16].”
• Practical Federated Gradient Boosting Decision Trees (2019, methodology): “Thus, LSH has been used to protect user privacy in applications such as keyword searching (Wang et al. 2014) and recommendation systems (Qi et al. 2017).”