EPSet: Efficient and privacy-preserving set similarity range query over encrypted data

Authors

Yandong Zheng, Xidian University, China
Rongxing Lu, University of New Brunswick, Canada
Yunguo Guan, Eastern Michigan University
Songnian Zhang, Xidian University, China
Jun Shao, Zhejiang Gongshang University, China
Fengwei Wang, Xidian University, China
Hui Zhu, Xidian University, China

Document Type

Article

Publication Date

2024

Department/School

Information Security and Applied Computing

Publication Title

IEEE Transactions on Services Computing

Comments

Y. Guan is a faculty member in EMU's School of Information Security and Applied Computing.

Link to Published Version

DOI: 10.1109/TSC.2024.3376203

Recommended Citation

Zheng, Y., Lu, R., Guan, Y., Zhang, S., Shao, J., Wang, F., & Zhu, H. (2024). EPSet: Efficient and privacy-preserving set similarity range query over encrypted data. IEEE Transactions on Services Computing, 17(2), 524–536. https://doi.org/10.1109/TSC.2024.3376203