Name
Abstract | ||
|---|---|---|
Massive devices connected through fifth-generation (5G) networks constitute a ubiquitous Internet of Things (IoT), providing diverse service applications in a smart city. A robust network topology structure against cyber-attacks is the foundation of highly reliable service quality, especially in next-generation networks or beyond 5G (B5G) networks. Existing methods apply neural networks with deep ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MWC.001.2000243 | IEEE Wireless Communications |
Keywords | DocType | Volume |
Training,Computers,Network topology,Smart cities,5G mobile communication,Robustness,Hardware | Journal | 28 |
Issue | ISSN | Citations |
2 | 1536-1284 | 2 |
PageRank | References | Authors |
0.37 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ning Chen | 1 | 136 | 21.63 |
| Tie Qiu | 2 | 895 | 80.18 |
| Laiping Zhao | 3 | 18 | 5.04 |
| Xiaobo Zhou | 4 | 64 | 16.25 |
| Huansheng Ning | 5 | 847 | 83.48 |