Reliable and privacy-preserving truth discovery for mobile crowdsensing systems

• Main Authors: ZHANG, Chuan, ZHU, Liehuang, XU, Chang, LIU, Ximeng, SHARIF, Kashif
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Cloud computing; Cryptography; Data aggregation; Data privacy; Mobile crowdsensing; Privacy; Privacy-preserving; Reliability; Reliable; Sensors; Truth discovery; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/4411
• Institution: Singapore Management University

Truth discovery has received considerable attention in mobile crowdsensing systems. In real practice, it is vital to resolve conflicts among a large amount of sensory data and estimate the truthful information. Although truth discovery has been widely explored to improve aggregation accuracy, numero...