A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing
[article]
2018
arXiv
pre-print
Mobile crowdsensing engages a crowd of individuals to use their mobile devices to cooperatively collect data about social events and phenomena for special interest customers. It can reduce the cost on sensor deployment and improve data quality with human intelligence. To enhance data trustworthiness, it is critical for service provider to recruit mobile users based on their personal features, e.g., mobility pattern and reputation, but it leads to the privacy leakage of mobile users. Therefore,
arXiv:1806.04057v1
fatcat:s5bsackfzray5lffyhcqchyfw4