Name
Abstract | ||
|---|---|---|
Mobile crowdsensing (MCS) has now become an effective paradigm to collect massive data for various sensing applications. However, the interactions between mobile users and the platform, and the data release to third parties, pose severe challenges of privacy leakage for MCS systems, such as the leakage of users' identities and locations. Although several works on MCS have explored the privacy issu... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MCOM.001.1800674 | IEEE Communications Magazine |
Keywords | Field | DocType |
Task analysis,Wireless sensor networks,Privacy,Resource management,Data privacy,Internet of Things,Data collection | Resource management,Data collection,Internet privacy,Incentive,Task analysis,Crowdsensing,Computer science,Computer network,Data publishing,Information privacy,Wireless sensor network | Journal |
Volume | Issue | ISSN |
57 | 9 | 0163-6804 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhibo Wang | 1 | 786 | 79.49 |
| Xiaoyi Pang | 2 | 10 | 2.13 |
| Jiahui Hu | 3 | 24 | 3.01 |
| Wenxin Liu | 4 | 63 | 11.65 |
| Qian Wang | 5 | 3091 | 152.46 |
| Yanjun Li | 6 | 87 | 25.03 |
| Honglong Chen | 7 | 235 | 18.06 |