PPTDS: A privacy-preserving truth discovery scheme in crowd sensing systems

• Main Authors: ZHANG, Chuan, ZHU, Liehuang, XU, Chang, SHARIF, Kashif, LIU, Ximeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Crowd sensing; Truth discovery; Privacy-preserving; Efficiency; Information Security; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/5152; https://ink.library.smu.edu.sg/context/sis_research/article/6155/viewcontent/PPTDS_av.pdf
• Institution: Singapore Management University

Benefiting from the fast development of human-carried mobile devices, crowd sensing has become an emerging paradigm to sense and collect data. However, reliability of sensory data provided by participating users is still a major concern. To address this reliability challenge, truth discovery is an e...