Efficient and privacy-preserving aggregate query over public property graphs

Authors

Yunguo Guan, Eastern Michigan University
Rongxing Lu, University of New Brunswick, Canada
Songnian Zhang, Xidian University, China
Yandong Zheng, Xidian University, China
Jun Shao, Zhejiang Gongshang University, China
Guiyi Wei, Zhejiang Gongshang University, China

Document Type

Article

Publication Date

2024

Department/School

Information Security and Applied Computing

Publication Title

IEEE Transactions on Big Data

Comments

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

Link to Published Version

DOI: 10.1109/TBDATA.2023.3342623

Recommended Citation

Guan, Y., Lu, R., Zhang, S., Zheng, Y., Shao, J., & Wei, G. (2024). Efficient and privacy-preserving aggregate query over public property graphs. IEEE Transactions on Big Data, 10(2), 146–157. https://doi.org/10.1109/TBDATA.2023.3342623