Name
Title | ||
|---|---|---|
Trustworthy Network Anomaly Detection Based on an Adaptive Learning Rate and Momentum in IIoT |
Abstract | ||
|---|---|---|
While the industrial Internet of Things (IIoT) brings convenience to the industry, it also brings security problems. Due to the massive amount of data generated by the surge of IIoT devices, it is impossible to ensure whether these data contain an attack or untrustworthy data, therefore, how to ensure the security and trustworthiness of IIoT devices has become an urgent problem to solve. In this a... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TII.2020.2975227 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Training,Fasteners,Servers,Big Data,Adaptive learning,Phishing | Journal | 16 |
Issue | ISSN | Citations |
9 | 1551-3203 | 3 |
PageRank | References | Authors |
0.41 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaodan Yan | 1 | 12 | 1.92 |
| Yang Xu | 2 | 83 | 8.64 |
| Xiaofei Xing | 3 | 64 | 13.74 |
| Baojiang Cui | 4 | 112 | 40.18 |
| Zihao Guo | 5 | 3 | 0.41 |
| Taibiao Guo | 6 | 6 | 0.81 |