Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things

Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things

In mobile crowd-sensing systems, the value of crowd-sensed big data can be increased by incentivizing the users appropriately. Since data acquisition is participatory, crowd-sensing systems face the challenge of data trustworthiness and truthfulness assurance in the presence of adversaries whose mot...

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Bibliographic Details
Main Authors: Maryam Pouryazdan, Claudio Fiandrino, Burak Kantarci, Tolga Soyata, Dzmitry Kliazovich, Pascal Bouvry
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Ambient intelligence
data acquisition
data analysis
distributed computing
intelligent sensors
Internet of Things
Online Access:https://ieeexplore.ieee.org/document/8064624/

Internet

https://ieeexplore.ieee.org/document/8064624/

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