Collusion-resistant spatial phenomena crowdsourcing via mixture of Gaussian Processes regression

• Main Authors: Zhang, Jie, Xiang, Qikun, Nevat, Ido, Zhang, Pengfei
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2019
• Subjects: Crowdsourcing; Gaussian; DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/87328; http://hdl.handle.net/10220/49471; http://ceur-ws.org/Vol-1578/
• Institution: Nanyang Technological University

With the rapid development of mobile devices, spatial location-based crowdsourcing applications have attracted much attention. These applications also introduce new security risks due to untrustworthy data sources. In the context of crowdsourcing applications for spatial interpolation (i.e. spatial...