Privacy-preserving user recruitment with sensing quality evaluation in mobile crowdsensing

• Main Authors: AN, Jieying, REN, Yanbing, LI, Xinghua, ZHANG, Man, LUO, Bin, MIAO, Yinbin, LIU, Ximeng, DENG, Robert H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Combinatorial multi-Armed bandit; Differential privacy; mobile crowdsensing; Perturbation methods; Privacy; privacy protection; Protection; Recruitment; Sensors; Task analysis; user recruitment; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/9051
• Institution: Singapore Management University

Recruiting users in mobile crowdsensing (MCS) can make the platform obtain high-quality data to provide better services. Although the privacy leakage during the process of user recruitment has received a lot of research attention, none of the existing work considers the evaluation of the sensing qua...