Intrusion detection for in-vehicle CAN networks based on auxiliary classifier GANs
M Chen, Q Zhao, Z Jiang, R Xu - … International Conference on …, 2021 - ieeexplore.ieee.org
With the rapid evolution of artificial intelligence, in-vehicle network and automotive electronic
systems are shifting toward intelligence. The existing in-vehicle network protocol CAN could …
systems are shifting toward intelligence. The existing in-vehicle network protocol CAN could …
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 …
Intrusion detection for in-vehicle network by using single GAN in connected vehicles
Controller area network (CAN) bus-based connected and even self-driving vehicles suffer
severe cybersecurity challenges because connections from outside the vehicle and an …
severe cybersecurity challenges because connections from outside the vehicle and an …
Deep transfer learning based intrusion detection system for electric vehicular networks
The Controller Area Network (CAN) bus works as an important protocol in the real-time In-
Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of …
Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of …
An anomaly detector for CAN bus networks in autonomous cars based on neural networks
The domain of securing in-vehicle networks has attracted both academic and industrial
researchers due to high danger of attacks on drivers and passengers. While securing wired …
researchers due to high danger of attacks on drivers and passengers. While securing wired …
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 …
In-Vehicle Network Intrusion Detection Using DNN with ReLU Activation Function
With the growing connectivity both within and between vehicles, there is an increasing focus
on safety and security measures. Automotive systems rely on different serial protocols like …
on safety and security measures. Automotive systems rely on different serial protocols like …
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 …
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) …
Intrusion detection system based on deep neural network and incremental learning for in-vehicle CAN networks
J Lin, Y Wei, W Li, J Long - Inernational Conference on Ubiquitous …, 2021 - Springer
With the application of information technology in automotive electronic system and the
development of internet of vehicles, automobiles face increasing security threats. Controller …
development of internet of vehicles, automobiles face increasing security threats. Controller …