DPDT: A Differentially Private Crowd-Sensed Data Trading Mechanism

Volume: 7, Issue: 1, Pages: 751 - 762
Published: Jan 1, 2020
Abstract
Along with the generation of Internet of Things (IoT), the values of tremendous volumes of sensing data will be slowly unlocked. Thus, crowd-sensed data trading as a new business paradigm has recently attracted increasing attention. A typical data trading system contains a platform, data consumers, and crowd workers. The platform recruits crowd workers to collect data and then sells the data to consumers. In this article, we design a...
Paper Details
Title
DPDT: A Differentially Private Crowd-Sensed Data Trading Mechanism
Published Date
Jan 1, 2020
Volume
7
Issue
1
Pages
751 - 762
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.