Intrusion Detecting System Based on Temporal Convolutional Network for In-Vehicle CAN Networks
In recent years, deep learning theories, such as Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN), have been applied as effective methods for intrusion detection in the vehicle CAN network. However, the existing RNNs realize detection by establishing independent models for eac...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2021-01-01
|
| Series: | Mobile Information Systems |
| Online Access: | http://dx.doi.org/10.1155/2021/1440259 |