LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection
With the development of intelligent transportation systems, vehicles are exposed to a
complex network environment. As the main network of in-vehicle networks, the controller …
complex network environment. As the main network of in-vehicle networks, the controller …
CANPerFL: improve in-vehicle intrusion detection performance by sharing knowledge
The Controller Area Network (CAN) is a widely used communication protocol in
automobiles, but it is vulnerable to various types of attacks. To address this issue …
automobiles, but it is vulnerable to various types of attacks. To address this issue …
A binarized neural network approach to accelerate in-vehicle network intrusion detection
Controller Area Network (CAN) is the de facto standard for in-vehicle networks. However, it
is inherently vulnerable to various attacks due to the lack of security features. Intrusion …
is inherently vulnerable to various attacks due to the lack of security features. Intrusion …
In-vehicle network intrusion detection using deep convolutional neural network
The implementation of electronics in modern vehicles has resulted in an increase in attacks
targeting in-vehicle networks; thus, attack detection models have caught the attention of the …
targeting in-vehicle networks; thus, attack detection models have caught the attention of the …
CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network
In-vehicle communications, due to simplicity and reliability, a Controller Area Network (CAN)
bus is widely used as the de facto standard to provide serial communications between …
bus is widely used as the de facto standard to provide serial communications between …
A Multi-attention Based CNN-BiLSTM Intrusion Detection Model for In-vehicle Networks
K Gao, H Huang, L Liu, R Du… - 2023 IEEE Intl Conf on …, 2023 - ieeexplore.ieee.org
The development of vehicular networking technology continuously enhances the internet
connectivity of modern vehicles. However, for in-vehicle networks, constant communication …
connectivity of modern vehicles. However, for in-vehicle networks, constant communication …
A convolutional encoder network for intrusion detection in controller area networks
X Zhang, X Cui, K Cheng… - 2020 16th International …, 2020 - ieeexplore.ieee.org
Integrated with various electronic control units (ECUs), vehicles are becoming more
intelligent with the assistance of essential connections. However, the interaction with the …
intelligent with the assistance of essential connections. However, the interaction with the …
[PDF][PDF] Vehicular Communications
HM Song, J Woo, Y Chung - 2019 - researchgate.net
The implementation of electronics in modern vehicles has resulted in an increase in attacks
targeting invehicle networks; thus, attack detection models have caught the attention of the …
targeting invehicle networks; thus, attack detection models have caught the attention of the …
[HTML][HTML] Supervised contrastive ResNet and transfer learning for the in-vehicle intrusion detection system
High-end vehicles have been equipped with several electronic control units (ECUs), which
provide upgrading functions to enhance the driving experience. The controller area network …
provide upgrading functions to enhance the driving experience. The controller area network …
HybridSecNet: In-Vehicle Security on Controller Area Networks Through a Hybrid Two-Step LSTM-CNN Model
A Chougule, I Kulkarni, T Alladi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The modern Intelligent Vehicle (IV) is a complex technological marvel that heavily relies on
the Controller Area Network (CAN) bus system to enable seamless communication among …
the Controller Area Network (CAN) bus system to enable seamless communication among …