Name
Title | ||
|---|---|---|
Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems |
Abstract | ||
|---|---|---|
With the increasing population of Industry 4.0, both AI and smart techniques have been applied and become hotly discussed topics in industrial cyber-physical systems (CPS). Intelligent anomaly detection for identifying cyber-physical attacks to guarantee the work efficiency and safety is still a challenging issue, especially when dealing with few labeled data for cyber-physical security protection... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TII.2020.3047675 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Anomaly detection,Security,Training,Task analysis,Feature extraction,Analytical models,Object recognition | Journal | 17 |
Issue | ISSN | Citations |
8 | 1551-3203 | 7 |
PageRank | References | Authors |
0.45 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaokang Zhou | 1 | 225 | 25.50 |
| Wei Liang | 2 | 8 | 0.80 |
| Shohei Shimizu | 3 | 492 | 45.80 |
| Jianhua Ma | 4 | 1401 | 148.82 |
| Jin, Q. | 5 | 233 | 33.40 |