Rec-CNN: In-vehicle networks intrusion detection using convolutional neural networks trained on recurrence plots
A controller area network (CAN) is a communication protocol for in-vehicle networks.
Communication between electronic control units (ECUs) is facilitated by the CAN bus. This …
Communication between electronic control units (ECUs) is facilitated by the CAN bus. This …
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 …
CANintelliIDS: Detecting in-vehicle intrusion attacks on a controller area network using CNN and attention-based GRU
AR Javed, S Ur Rehman, MU Khan… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Controller area network (CAN) is a communication protocol that provides reliable and
productive transmission between in-vehicle nodes continuously. CAN bus protocol is …
productive transmission between in-vehicle nodes continuously. CAN bus protocol is …
A deep learning-based intrusion detection system for in-vehicle networks
H Alqahtani, G Kumar - Computers and Electrical Engineering, 2022 - Elsevier
Modern vehicles are increasingly getting connected within the vehicles, with other systems,
leading to more concerns about security. Controller area network (CAN) has become a de …
leading to more concerns about security. Controller area network (CAN) has become a de …
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 …
[HTML][HTML] Intrusion detection system using deep neural network for in-vehicle network security
MJ Kang, JW Kang - PloS one, 2016 - journals.plos.org
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to
enhance the security of in-vehicular network. The parameters building the DNN structure are …
enhance the security of in-vehicular network. The parameters building the DNN structure are …
A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic
A significant increase in the use of electronics control units (ECUs) in modern vehicles has
made controller area network (CAN) a de facto standard in the automotive industry. CAN …
made controller area network (CAN) a de facto standard in the automotive industry. CAN …
Analysis of recent deep-learning-based intrusion detection methods for in-vehicle network
K Wang, A Zhang, H Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The development and popularity of vehicle-to-everything communication have caused more
risks to the in-vehicle networks security. As a result, an increasing number of various and …
risks to the in-vehicle networks security. As a result, an increasing number of various and …
A hybrid approach toward efficient and accurate intrusion detection for in-vehicle networks
With recent advancements in the automotive world and the introduction of autonomous
vehicles, automotive security has become a real and important issue. Modern vehicles have …
vehicles, automotive security has become a real and important issue. Modern vehicles have …
[HTML][HTML] 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 …