Towards privacy-preserving spatial distribution crowdsensing: A game theoretic approach

• Main Authors: REN, Yanbing, LI, Xinghua, MIAO, Yinbin, LUO, Bin, WENG, Jian, CHOO, Kim-Kwang Rahmond, DENG, Robert H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Privacy; Graphical models; Distribution functions; Sensors; Games; Differential privacy; Servers; Mobile crowdsensing; spatial distribution; location privacy; game theory; satisfaction form; Databases and Information Systems; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7230
• Institution: Singapore Management University

Acquiring the spatial distribution of users in mobile crowdsensing (MCS) brings many benefits to users (e.g., avoiding crowded areas during the COVID-19 pandemic). Although the leakage of users' location privacy has received a lot of research attention, existing works still ignore the rationali...