Name
Title | ||
|---|---|---|
Detecting Vehicle Anomaly in the Edge via Sensor Consistency And Frequency Characteristic |
Abstract | ||
|---|---|---|
Autonomous vehicles are expected to significantly enhance the human mobility. However, recently researchers have discovered and demonstrated some attacks on vehicles, which have caused a panic among the public. Furthermore, these attacks have demonstrated that the security issue is still one of the major challenges of vehicles. In this paper, we propose a novel edge computing based anomaly detecti... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TVT.2019.2907692 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Anomaly detection,Frequency-domain analysis,Correlation,Edge computing,Image edge detection,Time-domain analysis,Computer architecture | Frequency domain,Edge computing,Time domain,Anomaly detection,False positive rate,Edge detection,Computer science,Computer network,Sensor fusion,Real-time computing,Cloud computing | Journal |
Volume | Issue | ISSN |
68 | 6 | 0018-9545 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fei Guo | 1 | 2 | 5.53 |
| Zichang Wang | 2 | 10 | 0.87 |
| Suguo Du | 3 | 111 | 8.03 |
| Huaxin Li | 4 | 35 | 5.74 |
| Haojin Zhu | 5 | 2196 | 124.62 |
| qingqi pei | 6 | 246 | 47.95 |
| Zhenfu Cao | 7 | 2650 | 177.89 |
| Jianhong Zhao | 8 | 1 | 0.34 |