Threat analysis for automotive CAN networks: A GAN model-based intrusion detection technique
With the rapid development of Internet of vehicles, connected vehicles, autonomous
vehicles, and autonomous driving technologies, automotive Controller Area Networks (CAN) …
vehicles, and autonomous driving technologies, automotive Controller Area Networks (CAN) …
GIDS: GAN based intrusion detection system for in-vehicle network
A Controller Area Network (CAN) bus in the vehicles is an efficient standard bus enabling
communication between all Electronic Control Units (ECU). However, CAN bus is not …
communication between all Electronic Control Units (ECU). However, CAN bus is not …
CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level
Modern vehicles rely on a fleet of electronic control units (ECUs) connected through
controller area network (CAN) buses for critical vehicular control. With the expansion of …
controller area network (CAN) buses for critical vehicular control. With the expansion of …
A novel intrusion detection model for the CAN bus packet of in-vehicle network based on attention mechanism and autoencoder
P Wei, B Wang, X Dai, L Li, F He - Digital Communications and Networks, 2023 - Elsevier
The attacks on in-vehicle Controller Area Network (CAN) bus messages severely disrupt
normal communication between vehicles. Therefore, researches on intrusion detection …
normal communication between vehicles. Therefore, researches on intrusion detection …
PPM-InVIDS: Privacy protection model for in-vehicle intrusion detection system based complex-valued neural network
M Han, P Cheng, S Ma - Vehicular Communications, 2021 - Elsevier
As the rapidly increasing connectedness of modern vehicles, more and more information
security incidents targeting Intelligent Connected Vehicle (ICV) are emerging. Some …
security incidents targeting Intelligent Connected Vehicle (ICV) are emerging. Some …
[HTML][HTML] Detecting in-vehicle intrusion via semi-supervised learning-based convolutional adversarial autoencoders
With the development of autonomous vehicle technology, the controller area network (CAN)
bus has become the de facto standard for an in-vehicle communication system because of …
bus has become the de facto standard for an in-vehicle communication system because of …
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 …
Anomaly detection for in-vehicle network using CNN-LSTM with attention mechanism
With the increasing connectivity between the Electronic Control Units (ECUs) and the
outside world, safety and security have become stringent problems. The Controller Area …
outside world, safety and security have become stringent problems. The Controller Area …
An effective in-vehicle CAN bus intrusion detection system using CNN deep learning approach
The modern car is increasingly connected. That connection is magnified by the presence of
a large number of electronic control units (ECUs). The communication between the ECUs of …
a large number of electronic control units (ECUs). The communication between the ECUs of …
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 …