Name
Abstract | ||
|---|---|---|
This article proposes a deep learning based approach for cyber attack detection in the vehicles. The proposed method is constructed based on generative adversarial network (GAN) classification to assess the message frames transferring between the electric control unit (ECU) and other hardware in the vehicle. To this end, two networks called generator (G) and discriminator (D) will run an adversari... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TITS.2020.3015143 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | DocType | Volume |
Generative adversarial networks,Generators,Protocols,Automobiles,Anomaly detection,Deep learning,Cyberattack | Journal | 22 |
Issue | ISSN | Citations |
7 | 1524-9050 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdollah Kavousi-Fard | 1 | 268 | 31.99 |
| Morteza Dabbaghjamanesh | 2 | 1 | 2.40 |
| Tao Jin | 3 | 4 | 2.48 |
| Wencong Su | 4 | 254 | 27.89 |
| Mahmoud Roustaei | 5 | 0 | 0.34 |