Name
Title | ||
|---|---|---|
Variational Few-Shot Learning for Microservice-Oriented Intrusion Detection in Distributed Industrial IoT |
Abstract | ||
|---|---|---|
Along with the popularity of the Internet of Things (IoT) techniques with several computational paradigms, such as cloud and edge computing, microservice has been viewed as a promising architecture in large-scale application design and deployment. Due to the limited computing ability of edge devices in distributed IoT, only a small scale of data can be used for model training. In addition, most of... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TII.2021.3116085 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Intrusion detection,Data models,Training,Feature extraction,Training data,Distributed databases,Deep learning | Journal | 18 |
Issue | ISSN | Citations |
8 | 1551-3203 | 4 |
PageRank | References | Authors |
0.39 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Liang | 1 | 4 | 0.73 |
| Yiyong Hu | 2 | 4 | 0.39 |
| Xiaokang Zhou | 3 | 225 | 25.50 |
| Yi Pan | 4 | 2507 | 203.23 |
| Kevin Wang | 5 | 279 | 31.92 |