PRICE: Privacy and reliability-aware real-time incentive system for crowdsensing

• Main Authors: ZHAO, Bowen, LIU, Ximeng, CHEN, Wei-Neng, LIANG, Wei, ZHANG, Xinglin, DENG, Robert H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Crowdsensing; Incentive mechanism; Privacy preservation; Secure computation; Truth discovery; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/6932
• Institution: Singapore Management University

Crowdsensing is regarded as a critical component of the Internet of Things (IoT) and has been widely applied in smart city services. Incentive mechanism design, data reliability evaluation, and privacy preservation are the research focuses of crowdsensing. However, most existing incentive mechanisms...