Title | ||
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IronM: Privacy-Preserving Reliability Estimation of Heterogeneous Data for Mobile Crowdsensing |
Abstract | ||
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A reliable mobile crowdsensing (MCS) application usually relies on sufficient participants and trustworthy data. However, privacy concerns reduce participants' willingness to participate in sensing tasks. The uncertainty of participant behavior and heterogeneity of sensing devices result in the unreliability of sensing data and further bring unreliable MCS services. Hence, it is crucial to estimat... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/JIOT.2020.2975546 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Reliability,Sensors,Data privacy,Estimation,Task analysis,Internet of Things,Privacy | Journal | 7 |
Issue | ISSN | Citations |
6 | 2327-4662 | 2 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bowen Zhao | 1 | 14 | 6.32 |
Shaohua Tang | 2 | 481 | 48.22 |
Ximeng Liu | 3 | 135 | 31.84 |
Xinglin Zhang | 4 | 41 | 7.02 |
Wei-Neng Chen | 5 | 143 | 13.16 |