[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 …
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 …
[HTML][HTML] 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 …
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 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 …
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] 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 …
Long short-term memory neural network-based attack detection model for in-vehicle network security
In this letter, we create two types of attacks to investigate in-vehicle network security: replay
attack and amplitude-shift attack. We use these two attacks to create attack datasets from two …
attack and amplitude-shift attack. We use these two attacks to create attack datasets from two …
[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 …