Name
Title | ||
|---|---|---|
Mobile Traffic Classification through Physical Control Channel Fingerprinting: a Deep Learning Approach |
Abstract | ||
|---|---|---|
The automatic classification of applications and services is an invaluable feature for new generation mobile networks. Here, we propose and validate algorithms to perform this task, at runtime, from the raw physical control channel of an operative mobile network, without having to decode and/or decrypt the transmitted flows. Towards this, we decode Downlink Control Information (DCI) messages carri... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNSM.2020.3028197 | IEEE Transactions on Network and Service Management |
Keywords | DocType | Volume |
Long Term Evolution,Monitoring,Machine learning,Computer architecture,Neural networks,Feature extraction,Tools | Journal | 18 |
Issue | ISSN | Citations |
2 | 1932-4537 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hoang Duy Trinh | 1 | 9 | 2.22 |
| Angel Fernandez Gambin | 2 | 6 | 2.13 |
| Lorenza Giupponi | 3 | 567 | 53.70 |
| Michele Rossi | 4 | 228 | 26.33 |
| Paolo Dini | 5 | 226 | 30.82 |