Name
Abstract | ||
|---|---|---|
Outlier detection in the Internet of Things (IoT) is an essential challenge issue studied in numerous fields, including fraud monitoring, intrusion detection, secure localization, trust management, and so on. Conventional outlier detection technologies cannot be used directly in IoT due to the open nature of wireless communication as well as the resource-constrained characteristics of end nodes. T... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MWC.001.1900410 | IEEE Wireless Communications |
Keywords | DocType | Volume |
Anomaly detection,Clustering algorithms,Machine learning,Internet of Things,Machine learning algorithms,Battery charge measurement,Correlation | Journal | 27 |
Issue | ISSN | Citations |
3 | 1536-1284 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinfang Jiang | 1 | 810 | 42.80 |
| Guangjie Han | 2 | 1890 | 172.76 |
| Li Liu | 3 | 181 | 12.42 |
| Lei Shu | 4 | 54 | 8.17 |
| Mohsen Guizani | 5 | 6456 | 557.44 |