Obfuscation at-source: Privacy in context-aware mobile crowd-sourcing

• Main Authors: KANDAPPU, Thivya, MISRA, Archan, CHENG, Shih-Fen, TANDRIANSYAH, Randy, LAU, Hoong Chuin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Privacy; Mobile Crowd-sourcing platforms; obfuscation; trajectory; context-aware; Computer Sciences; Information Security; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3976; https://ink.library.smu.edu.sg/context/sis_research/article/4978/viewcontent/mobile_crowd_tasker_afv.pdf
• Institution: Singapore Management University

By effectively reaching out to and engaging larger population of mobile users, mobile crowd-sourcing has become a strategy to perform large amount of urban tasks. The recent empirical studies have shown that compared to the pull-based approach, which expects the users to browse through the list of t...