Name
Title | ||
|---|---|---|
Enabling Machine Learning with Service Function Chaining for Security Enhancement at 5G Edges |
Abstract | ||
|---|---|---|
With massive sorts of terminals, devices, and machines connecting to 5G, a tremendous surge of data makes cyber-security a pressing issue, and conventional countermeasures are facing unprecedented challenges. Recently, with the rise of ML (Machine Learning) and SDN/NFV-based (Software-Defined Networks/Network Functions Virtualization) SFC (Service Function Chaining) techniques, how to leverage the... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MNET.100.2000338 | IEEE Network |
Keywords | DocType | Volume |
Feature extraction,Security,Machine learning,Classification algorithms,Quality of service,Anomaly detection,Training | Journal | 35 |
Issue | ISSN | Citations |
5 | 0890-8044 | 1 |
PageRank | References | Authors |
0.37 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bohao Feng | 1 | 1 | 0.37 |
| Huachun Zhou | 2 | 1 | 0.37 |
| Guanglei Li | 3 | 18 | 5.75 |
| Yuming Zhang | 4 | 13 | 2.60 |
| Keshav Sood | 5 | 11 | 5.29 |
| Shui Yu | 6 | 2365 | 208.84 |