Privacy-preserved data trading via verifiable data disturbance

• Main Authors: ZHANG, Man, LI, Xinghua, REN, Yanbing, LUO, Bin, MIAO, Yinbin, LIU, Ximeng, DENG, Robert H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Privacy; Differential Privacy; Servers; Games; Pricing; Public Key; Nash Equilibrium; Availability Requirement; Data Trading; Data Storage Systems; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/9859
• Institution: Singapore Management University

To motivate data owner (DO) to trade data, the existing data trading allows DO to sell the disturbed data to the data consumer (DC), where the disturbance parameter and the data price are negotiated by them, and DO independently adds the disturbance noise to data (usually continuous type) following...