Name
Title | ||
|---|---|---|
Credibility Enhanced Temporal Graph Convolutional Network Based Sybil Attack Detection On Edge Computing Servers |
Abstract | ||
|---|---|---|
The emerging vehicular edge computing (VEC) technology has the potential to bring revolutionary development to vehicular ad hoc network (VANET). However, the edge computing servers (ECSs) are subjected to a variety of security threats. One of the most dangerous types of security attacks is the Sybil attack, which can create fabricated virtual vehicles (called Sybil vehicles) to significantly overl... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IV48863.2021.9575361 | 2021 IEEE Intelligent Vehicles Symposium (IV) |
Keywords | DocType | ISSN |
Privacy,Error analysis,System performance,Simulation,Vehicular ad hoc networks,Real-time systems,Servers | Conference | 1931-0587 |
ISBN | Citations | PageRank |
978-1-7281-5394-0 | 2 | 0.38 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baiting Luo | 1 | 2 | 0.72 |
| Xiangguo Liu | 2 | 2 | 1.06 |
| Qi Zhu | 3 | 8 | 5.55 |