Multi-round efficient and secure truth discovery in mobile crowdsensing systems

• Main Authors: HU, Chenfei, LI, Zihan, XU, Yuhua, ZHANG, Chuan, LIU, Ximeng, HE, Daojing, ZHU, Liehuang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Crowdsensing; Data privacy; Dropout tolerance; Mask generation; Mobile crowdsensing; Multi-round; Privacy; Privacy-preserving; Protocols; Sensors; Servers; Task analysis; Truth discovery; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/8666
• Institution: Singapore Management University

Privacy-preserving truth discovery, as a data aggregation algorithm that can extract reliable results from disparate and conflicting data in a privacy-preserving manner, has received a lot of attention in ensuring the reliability and privacy of data in mobile crowdsensing systems. However, most of t...