Paper Info
Title
Quick and Accurate False Data Detection in Mobile Crowd Sensing.
Abstract
The attacks, faults, and severe communication/system conditions in Mobile Crowd Sensing (MCS) make false data detection a critical problem. Observing the intrinsic low dimensionality of general monitoring data and the sparsity of false data, false data detection can be performed based on the separation of normal data and anomalies. Although the existing separation algorithm based on Direct Robust ...
Year
DOI
Venue
2020
10.1109/TNET.2020.2982685
IEEE/ACM Transactions on Networking
Keywords
DocType
Volume
Sparse matrices,Sensors,Matrix decomposition,Monitoring,Principal component analysis,Robustness,Wireless sensor networks
Journal
28
Issue
ISSN
Citations 
3
1063-6692
1
PageRank 
References 
Authors
0.35
0
9
Name
Order
Citations
PageRank
Xiaocan Li1243.08
Kun Xie219738.39
Xin Wang340851.21
Gaogang Xie463274.19
Dongliang Xie525121.85
Zhenyu Li621.38
Jigang Wen713014.67
Zulong Diao810.35
Wang Tian9106083.97