[HTML][HTML] Multi-attack and multi-classification intrusion detection for vehicle-mounted networks based on mosaic-coded convolutional neural network

R Hu, Z Wu, Y Xu, T Lai - Scientific Reports, 2022 - nature.com
With the development of Internet of vehicles, the information exchange between vehicles
and the outside world results in a higher risk of external network attacks to the vehicles. The …

[HTML][HTML] A multi-attack intrusion detection model based on Mosaic coded convolutional neural network and centralized encoding

R Hu, Z Wu, Y Xu, T Lai, C Xia - Plos one, 2022 - journals.plos.org
With the development of the Internet of Vehicles (IoV), attacks to the vehicle-mounted control
area network (CAN) have seriously jeopardized the security of automobiles. As an important …

An effective in-vehicle CAN bus intrusion detection system using CNN deep learning approach

MD Hossain, H Inoue, H Ochiai, D Fall… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
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 …

In-vehicle network intrusion detection using deep convolutional neural network

HM Song, J Woo, HK Kim - Vehicular Communications, 2020 - Elsevier
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 …

[HTML][HTML] Vehicular-Network-Intrusion Detection Based on a Mosaic-Coded Convolutional Neural Network

R Hu, Z Wu, Y Xu, T Lai - Mathematics, 2022 - mdpi.com
With the development of Internet of Vehicles (IoV) technology, the car is no longer a closed
individual. It exchanges information with an external network, communicating through the …

CCID-CAN: Cross-Chain Intrusion Detection on CAN Bus for Autonomous Vehicles

H Sun, W Huang, J Weng, Z Liu, W Tan… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Autonomous vehicles (AVs) rely on controller area network (CAN), which ensures the
communication between massive electronic control units (ECUs) and passenger safety …

An anomaly detector for CAN bus networks in autonomous cars based on neural networks

S Boumiza, R Braham - 2019 international conference on …, 2019 - ieeexplore.ieee.org
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 …

[HTML][HTML] 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 …

[HTML][HTML] Using deep learning networks to identify cyber attacks on intrusion detection for in-vehicle networks

HC Lin, P Wang, KM Chao, WH Lin, JH Chen - Electronics, 2022 - mdpi.com
With rapid advancements in in-vehicle network (IVN) technology, the demand for multiple
advanced functions and networking in electric vehicles (EVs) has recently increased. To …

[HTML][HTML] Intrusion detecting system based on temporal convolutional network for in-vehicle CAN networks

D Shi, M Xu, T Wu, L Kou - Mobile Information Systems, 2021 - hindawi.com
In recent years, deep learning theories, such as Recurrent Neural Networks (RNN) and
Convolutional Neural Networks (CNN), have been applied as effective methods for intrusion …