| Title |
Spearman Correlation Coefficient Abnormal Behavior Monitoring Technology Based on RNN in 5G Network for Smart City |
| ID_Doc |
38022 |
| Authors |
Li, C; Yang, H; Bao, BW; Guo, HF; Jiang, Y; Zhang, J |
| Title |
Spearman Correlation Coefficient Abnormal Behavior Monitoring Technology Based on RNN in 5G Network for Smart City |
| Year |
2020 |
| Published |
|
| DOI |
10.1109/IWCMC48107.2020.9148469 |
| Abstract |
With the development of 5G networks, software and hardware technologies, the feasibility of smart cities has been significantly improved, and a large number of smart city technologies have been proposed. Against this background, a more feasible abnormal behavior monitoring technology is important to ensure the normal operation of smart city network services. Therefore, in this paper, we proposed a Spearman's correlation coefficient abnormal behavior monitoring technology based on recurrent neural network in 5G network for smart city. |
| Author Keywords |
abnormal behavior monitoring; 5G; Spearman's correlation coefficient |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001058923200260 |
| WoS Category |
Computer Science, Theory & Methods; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
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