Name
Abstract | ||
|---|---|---|
In-vehicle network monitoring is one of the important elements in vehicular network management and security. Most of the existing network monitoring approaches rely on measuring every part of the network. Such approaches overburden the network by transmitting active probes. In this work, we propose a new in-vehicle network monitoring approach that benefits from network tomography and the advances ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCWorkshops50388.2021.9473498 | 2021 IEEE International Conference on Communications Workshops (ICC Workshops) |
Keywords | DocType | ISBN |
Performance evaluation,Deep learning,Conferences,Neural networks,Delay estimation,Telecommunication traffic,Tomography | Conference | 978-1-7281-9441-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amani Ibraheem | 1 | 0 | 0.34 |
| Zhengguo Sheng | 2 | 446 | 40.43 |
| George Parisis | 3 | 122 | 16.44 |
| Daxin Tian | 4 | 204 | 32.49 |