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 …
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 …
[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 …
[HTML][HTML] A survey of deep learning-based intrusion detection in automotive applications
Modern automobiles depend on internal vehicle networks (IVNs) to control systems from the
anti-lock brakes to the transmission to the locks on the doors. Many IVNs, particularly the …
anti-lock brakes to the transmission to the locks on the doors. Many IVNs, particularly the …
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 …
[HTML][HTML] Attacks to automatous vehicles: A deep learning algorithm for cybersecurity
THH Aldhyani, H Alkahtani - Sensors, 2022 - mdpi.com
Rapid technological development has changed drastically the automotive industry. Network
communication has improved, helping the vehicles transition from completely machine-to …
communication has improved, helping the vehicles transition from completely machine-to …
A transfer learning and optimized CNN based intrusion detection system for Internet of Vehicles
Modern vehicles, including autonomous vehicles and connected vehicles, are increasingly
connected to the external world, which enables various functionalities and services …
connected to the external world, which enables various functionalities and services …
Data-driven intrusion detection for intelligent internet of vehicles: A deep convolutional neural network-based method
As an industrial application of Internet of Things (IoT), Internet of Vehicles (IoV) is one of the
most crucial techniques for Intelligent Transportation System (ITS), which is a basic element …
most crucial techniques for Intelligent Transportation System (ITS), which is a basic element …
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 …
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 …