kkTCQ: Achieving privacy-preserving kk-Truss community queries over outsourced data

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 Dependable and Secure 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/TDSC.2023.3317401

Recommended Citation

Guan, Y., Lu, R., Zhang, S., Zheng, Y., Shao, J., & Wei, G. (2024). Ktcq: Achieving privacy-preserving k-truss community queries over outsourced data. IEEE Transactions on Dependable and Secure Computing, 21(4), 2750–2765. https://doi.org/10.1109/TDSC.2023.3317401