Efficient privacy-preserving task allocation with secret sharing for vehicular crowdsensing

Authors

Yantao Yu, University of New Brunswick, Canada and Tongji University, China
Xiaoping Xue, Tongji University, China
Jingxiao Ma, Tongji University, China
Ellen Z. Zhang, University of New Brunswick, Canada
Yunguo Guan, Eastern Michigan University
Rongxing Lu, University of New Brunswick, Canada

Document Type

Article

Publication Date

2023

Department/School

Information Security and Applied Computing

Publication Title

IEEE Internet of Things Journal

Comments

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

Link to Published Version

DOI: 10.1109/JIOT.2023.3323436

Recommended Citation

Yu, Y., Xue, X., Ma, J., Zhang, E. Z., Guan, Y., & Lu, R. (2023). Efficient privacy-preserving task allocation with secret sharing for vehicular crowdsensing. IEEE Internet of Things Journal, 11(6), 9473–9486. https://doi.org/10.1109/JIOT.2023.3323436